Machine Learning #deeplearning #ai #nlp #coding #pythonprogramming #ytshorts #shorts #nlp #mcqs

#machinelearning #datascience #python ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

Building Resume Screening App Machine Learning | Resume Parsing | Resume Job Recommendation Python

#machinelearning #python #datascience Discover how to revolutionize your hiring process with our step-by-step guide! Explore the power of machine learning in categorizing resumes, offering tailored job recommendations, and extracting key details effortlessly. blog post: https://medium.com/@611noorsaeed/building-resume-screening-app-resume-screening-with-machine-learning-job-recommendations-b1adc6b15cad Saved Models:https://www.kaggle.com/datasets/noorsaeed/models Datasets: https://www.kaggle.com/datasets/noorsaeed/resume-datasets Github:https://github.com/611noorsaeed/Resume-Screening-with-Machine-Learning-Job-Recommendations-Parsing-Categorization/blob/main/Resume%20Catogorization%20prediction.ipynb Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

OpenAI Tutorial # 4: Temperature Parameters in Chat Completions API

In this video, we're diving into the parameters in Chat Completions API 1. Temperature 2. Top p 3. Frequency Penalty 4. Presence Penalty You'll learn how to enhance your chatbot's responses using temperature and unlock more creative and diverse outputs. From understanding the basics of temperature parameters to advanced techniques for customizing your chatbot's tone and style, we've got you covered. So, what are you waiting for? Let's get started and take your chatbot to the next level with OpenAI's Chat Completions API! #chatgpt #gpt4 , #pythontutorial #datascience #aicontentcreation , #openai , #pythonprogramming , #AITutorialHindi, #ChatGPTProjects, #GPT4Tutorial, #openai #chatcompletionsapi #temperatureparameters #aitutorial #chatbotdevelopment #nlp #machinelearning #artificialintelligence #ai #we4ai #openaitutorialseries #chatbottutorial #ainews #aiupdates #techtutorial #programmingtutorial #developertutorial #aifordevelopers #aiforbeginners 📄 Code files: https://github.com/we4ai/Learn-OpenAI-GPT/tree/main/4.%20OpenAI%20Parameters-Temprature ⭐ Star the GitHub repo: https://github.com/we4ai/Learn-OpenAI-GPT 📌 Need more help? Drop your questions in the comments or reach out via email: rahul@we4ai.com Be sure to like, share, and subscribe for more content like this!

OpenAI Tutorial # 5: top_p | Top p Hyper Parameter in Chat Completions API

In this video, we're diving into the parameters in Chat Completions API 1. Temperature 2. Top p 3. Frequency Penalty 4. Presence Penalty You'll learn how to enhance your chatbot's responses using temperature and unlock more creative and diverse outputs. From understanding the basics of top_p parameters to advanced techniques for customizing your chatbot's tone and style, we've got you covered. So, what are you waiting for? Let's get started and take your chatbot to the next level with OpenAI's Chat Completions API! #chatgpt #gpt4 , #pythontutorial #datascience #aicontentcreation , #openai , #pythonprogramming , #AITutorialHindi, #ChatGPTProjects, #GPT4Tutorial, #openai #chatcompletionsapi #temperatureparameters #aitutorial #chatbotdevelopment #nlp #machinelearning #artificialintelligence #ai #we4ai #openaitutorialseries #chatbottutorial #ainews #aiupdates #techtutorial #programmingtutorial #developertutorial #aifordevelopers #aiforbeginners 📄 Code files: https://github.com/we4ai/Learn-OpenAI-GPT/tree/main/5.%20OpenAI%20Parameters%3A%20top_p ⭐ Star the GitHub repo: https://github.com/we4ai/Learn-OpenAI-GPT 📌 Need more help? Drop your questions in the comments or reach out via email: rahul@we4ai.com Be sure to like, share, and subscribe for more content like this!

#5 #machinelearning #datascience #python #mcqs #deeplearning #ai #pca #shorts #trending #ytshorts

#machinelearning #datascience #python Source Code: ============================== ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

Revolutionize Your Workflow with AI: Explore the Best Tools on ReadAloudForMe.com!"

Discover the ultimate AI Tools recommender in action at ReadAloudForMe.com! 🚀 Watch this concise 2-minute tour to see how you can easily find and utilize cutting-edge AI technologies tailored to your needs. From natural language processing and machine learning to data visualization, our platform guides you through the best AI tools available today. Whether you're a developer, researcher, or enthusiast, enhance your projects and streamline your processes with our intuitive AI tool recommendations. Don't forget to like, subscribe, and click the bell icon for more insightful content on leveraging AI in your daily tasks and projects. Visit us now at readaloudforme.com for an interactive experience!

Deep Learning | Video 5 | Part 2 | Word-to-Vector: Contextual Word | Venkat Reddy AI Classes

Course Materials https://github.com/venkatareddykonasani/Youtube_videos_Material To keep up with the latest updates, join our WhatsApp community: https://chat.whatsapp.com/GidY7xFaFtkJg5OqN2X52k In this video, we delve into the concept of Word-to-Vec and how it creates numerical representations for words based on their context. The key idea is not just to convert words randomly into numbers, but to capture their meaning by considering the surrounding context. Word-to-Vec, introduced by J.R. Firth in 1957, emphasizes understanding words based on the company they keep—their context. By using a context window size (e.g., three words), we can determine the context in which a word appears. For instance, if we take "King" with a context size of three, the context might be "King is a strong man." To create a Word-to-Vec model: Create Training Samples: Pair each word with its surrounding context words. Build a Neural Network Model: Use these pairs to train a shallow neural network. Generate Word Vectors: The model's hidden layer output provides numerical representations (vectors) for each word based on its context. The neural network ensures that words with similar contexts get similar numerical representations, while those with different contexts get different representations. This representation captures relationships between words. For example, "King" and "man" might have similar vectors due to their contextual connection. You can visualize these word vectors in three dimensions. Words with similar meanings or contexts cluster together, making it easier to see relationships between them. By performing vector arithmetic (e.g., King - man + woman), you can even generate new word vectors and predict where they might fall in relation to others. Word-to-Vec is a powerful technique used in natural language processing for tasks like sentiment analysis, document classification, and recommendation systems. It's an efficient way to convert words into meaningful numerical representations that capture semantic relationships. Explore this video to understand how Word-to-Vec works and how it can enhance various NLP applications. #WordToVec #NaturalLanguageProcessing #NLP #MachineLearning #DataScience #ai #promptengineering #genai #deeplearning

Deep Learning | Video 5 | Part 3 | Converting Text to Vectors - Word2Vec | Venkat Reddy AI Classes

Course Materials https://github.com/venkatareddykonasani/Youtube_videos_Material To keep up with the latest updates, join our WhatsApp community: https://chat.whatsapp.com/GidY7xFaFtkJg5OqN2X52k Learn how to convert text into numerical vectors using Word2Vec. This technique is crucial for natural language processing (NLP) tasks. Manual Word to Vector Conversion: Typically, in deep learning, we convert text data into vectors using Word2Vec to preserve contextual relationships between words. We manually clean a corpus of text, remove stop words, and then convert words into vectors by preserving their context using a defined window size. Building the Word2Vec Model: Define a context window size (e.g., 2) to establish relationships between nearby words. Prepare input-output pairs where words are inputs and their surrounding context words are outputs. Build a shallow neural network model using Keras to convert words into one-hot encoding. Extract the hidden layer output, which serves as the word vector representation. Automating with Gensim: Gensim offers a simpler approach. Use Gensim's Word2Vec model to automatically convert words to vectors. Provide parameters like size (number of dimensions), window (context window size), and min_count (minimum word occurrence threshold). Leveraging Pre-trained Models: Google's pre-trained Word2Vec model is available for direct use, trained on a massive dataset of news articles. Load the model with a single line of code and use it to find similar words or establish word relationships. Benefits and Applications: Word2Vec allows for semantic analysis, identifying word relationships (e.g., "France" is to "Paris" as "Italy" is to "Rome"). The model can be utilized in various NLP tasks, such as sentiment analysis, machine translation, or information retrieval. Understand the power of Word2Vec in NLP tasks. Learn how to implement it manually, automate with Gensim, or use pre-trained models for efficient text representation. #Word2Vec #NLP #TextAnalytics #MachineLearning #DeepLearning #ai #datascience #dataanalysis #genai #promptengineering

Deep Learning | Video 5 | Part 1 | Word Embedding: Text into Vectors | Venkat Reddy AI Classes

Course Materials https://github.com/venkatareddykonasani/Youtube_videos_Material To keep up with the latest updates, join our WhatsApp community: https://chat.whatsapp.com/GidY7xFaFtkJg5OqN2X52k In this video, we delve into word embedding, a method that converts text into numerical vectors while preserving context and meaning. Unlike traditional bag-of-words approaches, word embedding retains the relationships between words by representing them as vectors in a multi-dimensional space. We start by revisiting the concept of document-term matrices and one-hot encoding, highlighting their limitations in capturing semantic relationships between words. One-hot encoding leads to orthogonal representations, losing valuable contextual information crucial for text analysis. Word embedding, specifically Word2Vec, offers a solution by mapping words to vectors that encode their contextual meaning. Words with similar meanings or contexts are represented by vectors that are closer in this space, enabling powerful semantic relationships. Using simple examples like "King is a strong man" and "Queen is a wise woman," we illustrate how word embedding can capture relationships between words like King/Queen and man/woman. This method ensures that related words are closer in the vector space, preserving semantic connections. We discuss the importance of context in understanding meaning, emphasizing that context is derived from a window of surrounding words. Word2Vec leverages this idea to map words to vectors that reflect their context and meaning within a given corpus of text. Through Word2Vec, words like "India" and "China" can be associated with concepts like "Delhi" and "Beijing" respectively, showcasing the power of word embedding in capturing semantic relationships. Join us as we explore the concept of word embedding, its significance in natural language processing, and how it transforms text into numerical data while retaining semantic context. #WordEmbedding #TextAnalysis #NLP #Word2Vec #ai #SemanticAnalysis #MachineLearning #DataScience #datascience #genai #promptengineering

Deep Learning | Video 5 | Part 2 | Word-to-Vector: Contextual Word | Venkat Reddy AI Classes

Course Materials https://github.com/venkatareddykonasani/Youtube_videos_Material To keep up with the latest updates, join our WhatsApp community: https://chat.whatsapp.com/GidY7xFaFtkJg5OqN2X52k In this video, we delve into the concept of Word-to-Vec and how it creates numerical representations for words based on their context. The key idea is not just to convert words randomly into numbers, but to capture their meaning by considering the surrounding context. Word-to-Vec, introduced by J.R. Firth in 1957, emphasizes understanding words based on the company they keep—their context. By using a context window size (e.g., three words), we can determine the context in which a word appears. For instance, if we take "King" with a context size of three, the context might be "King is a strong man." To create a Word-to-Vec model: Create Training Samples: Pair each word with its surrounding context words. Build a Neural Network Model: Use these pairs to train a shallow neural network. Generate Word Vectors: The model's hidden layer output provides numerical representations (vectors) for each word based on its context. The neural network ensures that words with similar contexts get similar numerical representations, while those with different contexts get different representations. This representation captures relationships between words. For example, "King" and "man" might have similar vectors due to their contextual connection. You can visualize these word vectors in three dimensions. Words with similar meanings or contexts cluster together, making it easier to see relationships between them. By performing vector arithmetic (e.g., King - man + woman), you can even generate new word vectors and predict where they might fall in relation to others. Word-to-Vec is a powerful technique used in natural language processing for tasks like sentiment analysis, document classification, and recommendation systems. It's an efficient way to convert words into meaningful numerical representations that capture semantic relationships. Explore this video to understand how Word-to-Vec works and how it can enhance various NLP applications. #WordToVec #NaturalLanguageProcessing #NLP #MachineLearning #DataScience #ai #promptengineering #genai #deeplearning

#2 #MachineLearningInterviews, #DataScienceTips #shorts #ytshorts #coding #programming #mcqs #ai

#machinelearning #datascience #python Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral

I built a powerful Retrieval-Augmented Generation (RAG) pipeline using Langchain Mistral and Weviate db. In this video, you'll learn: What is RAG and why is it powerful? Understand the core concepts behind RAG and how it leverages retrieval and generation techniques. Setting up the toolbox: Discover the essential Python libraries you'll need to build your RAG pipeline. Integrating the LLM: Learn how to connect your RAG pipeline with an LLM of your choice, like Mistral 7B. Downlaod the Notes From Here: https://github.com/sunnysavita10/Indepth-GENAI/blob/main/RAG_Application_Using_LangChain_Mistral_and_Weviate.ipynb Click to subscribe & join the AI adventure! #rag #GoogleGemini #embedding #cosinefunction #Python #AI #MachineLearning #textgeneration #gemini #langchain #llamaindex #vector #pinecone #chromadb #langchain #faiss #vectordada #gpt #ragsystem Google Form : https://forms.gle/1Ut21yM2ednvpbS66 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds

2k Special Jarvis | How to make Jarvis | Jarvis-Ai + New Deep Fake Voice + Ai voice + TTS

2k Special Jarvis | How to Make Jarvis | Jarvis-AI + New Deep Fake Voice + AI Voice + TTS "Ultimate Guide: Building Your Own 2k Special Jarvis with AI & Deep Fake Voice" "Mastering Jarvis-AI: A Step-by-Step Tutorial with Deep Fake Voice Integration" "Unveiling the Power of Jarvis: DIY Tutorial with New Deep Fake Voice & TTS" "Creating Your Personal Jarvis: Step-by-Step Guide with AI Voice & TTS" "2k Special: Crafting Jarvis-AI with New Deep Fake Voice & Text-to-Speech" Unlock the secrets of creating your very own Jarvis with this exclusive 2k Special tutorial! Dive deep into the world of AI as we explore the process step by step. Learn how to integrate the latest advancements including Deep Fake Voice, AI Voice, and Text-to-Speech (TTS) for an unparalleled experience. Whether you're a seasoned developer or just starting out, this guide will walk you through the process with clarity and ease. Join us on this exciting journey to unleash the power of Jarvis like never before! Tags :- Jarvis, AI tutorial, Deep Fake Voice, TTS, Voice AI, Artificial Intelligence, DIY Jarvis, Jarvis creation, AI development, Voice synthesis, 2k Special, How to make Jarvis, Deep learning, Natural language processing, Machine learning, Neural networks, Voice cloning, Speech synthesis, AI programming, Tech tutorial, Innovative technology, DIY AI, Voice assistant, Virtual assistant, Future tech, Cutting-edge AI, Step-by-step tutorial, Programming guide, Voice modulation, Text-to-speech, AI voiceover, Advanced AI techniques, Digital assistant, Voice recognition, Voice technology, AI innovation, DIY tech projects, Voice manipulation, Creative AI, Next-gen AI, Voice control, Automated assistants, AI voice generation, Technology enthusiasts, Voice interface, AI integration, AI solutions, Voice synthesis software Source Code :- -------------------------- Source Code In Telegram Channel --------------------- Telegram Channel Link :- https://t.me/JarvisByAnubhavChaturvedi instagram Link :-https://www.instagram.com/_anubhav__chaturvedi_/ ---------------------------------------------------------------------------------------------------------- --------- Follow Me In Other Platform ---------- code :- https://github.com/anubhavcha/jarvis-3.0/blob/main/listen.py github :- https://github.com/anubhavcha How to install Pycharm : - https://youtu.be/MJJpL9EmJBs?si=uVY42PVzXGPz1mW3 instagram :- https://www.instagram.com/_anubhav__chaturvedi_/ personal GitHub :- https://github.com/AnubhavChaturvedi-GitHub Professional GitHub :- https://github.com/AnubhavChaturved1 facebook :- https://www.facebook.com/IndianYoutuberAndSoftwareDevloper --------------------------------------------------------------------------------------------------------------------------- Hashtags :- #AItechnology #DIYprojects #ArtificialIntelligence #TechInnovation #FutureTech #VoiceAssistant #MachineLearning #DeepLearning #NeuralNetworks #TechTutorial #VoiceTech #InnovativeTech #AIdevelopment #VoiceSynthesis #jarvistutorial#VoiceCloning #JarvisAI#AIProgramming#VoiceRecognition#TechEnthusiast#DIYAI

2k Special Jarvis | How to make Jarvis | Jarvis-Ai + New Deep Fake Voice + Ai voice + TTS

2k Special Jarvis | How to Make Jarvis | Jarvis-AI + New Deep Fake Voice + AI Voice + TTS "Ultimate Guide: Building Your Own 2k Special Jarvis with AI & Deep Fake Voice" "Mastering Jarvis-AI: A Step-by-Step Tutorial with Deep Fake Voice Integration" "Unveiling the Power of Jarvis: DIY Tutorial with New Deep Fake Voice & TTS" "Creating Your Personal Jarvis: Step-by-Step Guide with AI Voice & TTS" "2k Special: Crafting Jarvis-AI with New Deep Fake Voice & Text-to-Speech" Unlock the secrets of creating your very own Jarvis with this exclusive 2k Special tutorial! Dive deep into the world of AI as we explore the process step by step. Learn how to integrate the latest advancements including Deep Fake Voice, AI Voice, and Text-to-Speech (TTS) for an unparalleled experience. Whether you're a seasoned developer or just starting out, this guide will walk you through the process with clarity and ease. Join us on this exciting journey to unleash the power of Jarvis like never before! Tags :- Jarvis, AI tutorial, Deep Fake Voice, TTS, Voice AI, Artificial Intelligence, DIY Jarvis, Jarvis creation, AI development, Voice synthesis, 2k Special, How to make Jarvis, Deep learning, Natural language processing, Machine learning, Neural networks, Voice cloning, Speech synthesis, AI programming, Tech tutorial, Innovative technology, DIY AI, Voice assistant, Virtual assistant, Future tech, Cutting-edge AI, Step-by-step tutorial, Programming guide, Voice modulation, Text-to-speech, AI voiceover, Advanced AI techniques, Digital assistant, Voice recognition, Voice technology, AI innovation, DIY tech projects, Voice manipulation, Creative AI, Next-gen AI, Voice control, Automated assistants, AI voice generation, Technology enthusiasts, Voice interface, AI integration, AI solutions, Voice synthesis software Source Code :- -------------------------- Source Code In Telegram Channel --------------------- Telegram Channel Link :- https://t.me/JarvisByAnubhavChaturvedi instagram Link :-https://www.instagram.com/_anubhav__chaturvedi_/ ---------------------------------------------------------------------------------------------------------- --------- Follow Me In Other Platform ---------- code :- https://github.com/anubhavcha/jarvis-3.0/blob/main/listen.py github :- https://github.com/anubhavcha How to install Pycharm : - https://youtu.be/MJJpL9EmJBs?si=uVY42PVzXGPz1mW3 instagram :- https://www.instagram.com/_anubhav__chaturvedi_/ personal GitHub :- https://github.com/AnubhavChaturvedi-GitHub Professional GitHub :- https://github.com/AnubhavChaturved1 facebook :- https://www.facebook.com/IndianYoutuberAndSoftwareDevloper --------------------------------------------------------------------------------------------------------------------------- Hashtags :- #AItechnology #DIYprojects #ArtificialIntelligence #TechInnovation #FutureTech #VoiceAssistant #MachineLearning #DeepLearning #NeuralNetworks #TechTutorial #VoiceTech #InnovativeTech #AIdevelopment #VoiceSynthesis #jarvistutorial#VoiceCloning #JarvisAI#AIProgramming#VoiceRecognition#TechEnthusiast#DIYAI

Unlocking AI Potential: Training LLM Models from Scratch & Crafting Custom Tokenizer

In this video, we dive into the world of AI by exploring the process of training LLM Models from scratch and crafting custom tokenizers. Unlock the potential of AI with these advanced techniques! Welcome to our latest video where we delve into the fascinating world of Artificial Intelligence! In this upload, we're thrilled to share the secrets behind training Language Model Models (LLMs) from scratch and the art of crafting custom tokenizers. Dive deep with us as we explore the intricacies of pretraining LLMs using open-source datasets, and discover the transformative power of creating your very own tokenizers tailored to your unique requirements. Follow along with our step-by-step guide as we breathe new life into outdated tokenizers, molding them to perfection for optimal performance. From mastering the basics of LLM training to unlocking the full potential of self-trained tokenizers, this tutorial promises to revolutionize your understanding of AI. Don't miss out on this immersive experience that promises to redefine your perception of artificial intelligence. Join us on this exciting journey into the heart of AI exploration! Source Code: https://github.com/OE-LUCIFER/youtube-video **SEO Tags:** AI, Artificial Intelligence, LLM Models, Language Models, Tokenizers, Training, Open-source Datasets, Customization, Machine Learning, Tutorial, Video, Technology, Innovation, Data Science, Deep Learning, Natural Language Processing, Neural Networks, Programming, Coding, Python, NLP, Model Development, Data Analysis, Algorithm, Educational Content, Tech Tips, Software Development, Advanced Techniques, Digital Innovation, Online Learning, Computer Science, Deep Dive, Explainer, How-to, Data Engineering, Model Optimization, Text Processing, Creative Coding, AI Development, DIY, Learning Resources, Knowledge Sharing, Technical Skills, Self-improvement, AI Applications, Future Tech, Cutting-edge Technology, AI Enthusiast.

Python Chatbot : Chat GPT Using Python Crash Course | 16 - Minute Tutorial | Python Tutorial #python

Python Chatbot : Chat GPT Using Python Crash Course | 16 - Minute Tutorial | Python Tutorial 🙏 Thanks For Watching 🙏 In this video tutorial, we will explore how to use Chat GPT with Python to create a chatbot from scratch. Chatbots have become increasingly popular for businesses looking to automate customer support and improve user experience on their websites. With the power of Chat GPT and Python programming language, you can easily develop your own chatbot that can interact with users in a natural and engaging way. We will start by introducing Chat GPT, a powerful language model developed by OpenAI, and explain how it can be used for generating human-like responses in conversations. Then, we will dive into the implementation of Chat GPT with Python, covering the necessary steps to set up the environment, create the chatbot logic, and deploy the chatbot for real-world use. Whether you are a beginner looking to learn about chatbots or a developer seeking to enhance your skills in natural language processing, this tutorial will provide you with the knowledge and tools needed to build your own chatbot using Chat GPT and Python. Don't forget to like, share, and subscribe for more tech tutorials! Key Takeaways: 1. Generate Open-Ai Api key. 2. Integrate Open-ai with python. 3. Create chat bot using chat-gpt in python. Step-by-Step Process: 1. Introduction to chat-gpt in Python 2. Generation of open-ai api key. 3. Understanding open-ai python library 4. Integration of Open-ai with python 5. Creation of a chat bot using chat-gpt in python Resources Mentioned: 1. Python - A powerful and versatile programming language widely used for various applications. 2. ChatGPT - ChatGPT is an AI-powered conversational agent designed to engage in natural language interactions with users. ### Tags: chatbot, chat GPT, Python, artificial intelligence, machine learning, natural language processing, AI chatbot, chatbot tutorial, Python chatbot, chatbot development, coding tutorial, programming, deep learning, technology, OpenAI, chatbot implementation, AI development, chatbot programming, Python tutorial, NLP, AI programming Chat GPT Chatbot tutorial Python chatbot GPT-3 tutorial Natural language processing Conversational AI Machine learning tutorial Python programming AI chatbot development Create chatbot with GPT How to use GPT for chatbot Chatbot development tutorial Python chatbot tutorial GPT-3 chatbot tutorial Chatbot programming DIY chatbot tutorial Python chatbot development Chatbot AI tutorial ### Hashtags: #PythonLambdaFunction #LambdaFunctions #PythonCrashCourse #PythonTutorial #AdvancedPython #FunctionalProgramming #PythonCoding #PythonProjects #PythonLambda #LambdaFunctions #PythonCrashCourse #PythonProgramming #CodingTutorial #PythonTips #ProgrammingEducation #LearnToCode #AdvancedPython #FunctionalProgramming #python #pythonprogramming #funny #coding #coding101 #factorials #python #java #nodejs #shorts #short #trending #programming #programmingforbeginners #pythonprogramming #4kstatus #foryou #fullscreenstatus #videos #chatbot #chatgpt #python #artificialintelligence #machinelearning #naturallanguageprocessing #aichatbot #chatbottutorial #pythonchatbot #chatbotdevelopment #codingtutorial #programming #deeplearning #technology #openai #chatbotimplementation #aidevelopment #chatbotprogramming #pythontutorial #nlp #thecodeinsane #the code insane #TheCodeInsane @TheCodeInsane

Python Chatbot : Chat GPT Using Python Crash Course | 16 - Minute Tutorial | Python Tutorial #python

Python Chatbot : Chat GPT Using Python Crash Course | 16 - Minute Tutorial | Python Tutorial 🙏 Thanks For Watching 🙏 In this video tutorial, we will explore how to use Chat GPT with Python to create a chatbot from scratch. Chatbots have become increasingly popular for businesses looking to automate customer support and improve user experience on their websites. With the power of Chat GPT and Python programming language, you can easily develop your own chatbot that can interact with users in a natural and engaging way. We will start by introducing Chat GPT, a powerful language model developed by OpenAI, and explain how it can be used for generating human-like responses in conversations. Then, we will dive into the implementation of Chat GPT with Python, covering the necessary steps to set up the environment, create the chatbot logic, and deploy the chatbot for real-world use. Whether you are a beginner looking to learn about chatbots or a developer seeking to enhance your skills in natural language processing, this tutorial will provide you with the knowledge and tools needed to build your own chatbot using Chat GPT and Python. Don't forget to like, share, and subscribe for more tech tutorials! Key Takeaways: 1. Generate Open-Ai Api key. 2. Integrate Open-ai with python. 3. Create chat bot using chat-gpt in python. Step-by-Step Process: 1. Introduction to chat-gpt in Python 2. Generation of open-ai api key. 3. Understanding open-ai python library 4. Integration of Open-ai with python 5. Creation of a chat bot using chat-gpt in python Resources Mentioned: 1. Python - A powerful and versatile programming language widely used for various applications. 2. ChatGPT - ChatGPT is an AI-powered conversational agent designed to engage in natural language interactions with users. ### Tags: chatbot, chat GPT, Python, artificial intelligence, machine learning, natural language processing, AI chatbot, chatbot tutorial, Python chatbot, chatbot development, coding tutorial, programming, deep learning, technology, OpenAI, chatbot implementation, AI development, chatbot programming, Python tutorial, NLP, AI programming Chat GPT Chatbot tutorial Python chatbot GPT-3 tutorial Natural language processing Conversational AI Machine learning tutorial Python programming AI chatbot development Create chatbot with GPT How to use GPT for chatbot Chatbot development tutorial Python chatbot tutorial GPT-3 chatbot tutorial Chatbot programming DIY chatbot tutorial Python chatbot development Chatbot AI tutorial ### Hashtags: #PythonLambdaFunction #LambdaFunctions #PythonCrashCourse #PythonTutorial #AdvancedPython #FunctionalProgramming #PythonCoding #PythonProjects #PythonLambda #LambdaFunctions #PythonCrashCourse #PythonProgramming #CodingTutorial #PythonTips #ProgrammingEducation #LearnToCode #AdvancedPython #FunctionalProgramming #python #pythonprogramming #funny #coding #coding101 #factorials #python #java #nodejs #shorts #short #trending #programming #programmingforbeginners #pythonprogramming #4kstatus #foryou #fullscreenstatus #videos #chatbot #chatgpt #python #artificialintelligence #machinelearning #naturallanguageprocessing #aichatbot #chatbottutorial #pythonchatbot #chatbotdevelopment #codingtutorial #programming #deeplearning #technology #openai #chatbotimplementation #aidevelopment #chatbotprogramming #pythontutorial #nlp #thecodeinsane #the code insane #TheCodeInsane @TheCodeInsane

What is Natural Language Processing & How It Works | NLP Python | NLP Using Python | Python | NLP |

What is Natural Language Processing & How It Works | NLP Python | NLP Using Python | Python | NLP | Hello Guys, Join this channel to get access to perks: https://www.youtube.com/channel/UC7A5u12yVIZaCO_uXnNhc5g/join You Must Complete This Before You Go :- https://www.youtube.com/watch?v=yBJUrn2tggo&t=1608s Related Topics :- programming,developer,javascript,web development,coding,programmer,software developer,software development,react js,tutorial,yt:cc=on,artificial intelligence with python,artificial intelligence tutorial,AI Python,artificial intelligence,artificial intelligence python,artificial intelligence using python,Artificial Intelligence Tutorial using Python,applications of artificial intelligence,Introduction to Artificial Intelligence,What is Artificial Intelligence,Machine learning basics,edureka,python edureka,ai python tutorial,ai python examples,artificial intelligence edureka,What is Artificial Intelligence With Full Information?,What is Artificial Intelligence in Hindi?,Artificial Intelligence Kya Hain?,What is artificial intelligence with examples? What is artificial intelligence in computer?,Artificial intelligence Animation Video,Benefits of artificial intelligence,Artificial intelligence future,Who started AI?,Where is Artificial Intelligence used?,What is the disadvantage of Artificial Intelligence?,Types of artificial intelligence,artificial intelligence,artificial intelligence course,machine learning,machine learning course,ai and machine learning,ai and machine learning full course,ai and machine learning tutorial,ai and machine learning for beginners,artificial intelligence and machine learning,artificial intelligence and machine learning course,machine learning algorithms,artificial intelligence tutorial,ai and ml,artificial intelligence full course,ai full course,artificial intelligence tutorial,artificial intelligence tutorial for beginners,artificial intelligence lecture,artificial intelligence projects,artificial intelligence course,artificial intelligence for beginners,ai artificial intelligence,ai,ai tutorial,ai tutorial for beginners,ai tutorial python,artificial intelligence training videos,simplilearn artificial intelligence,simplilearn

What is Natural Language Processing & How It Works | NLP Python | NLP Using Python | Python | NLP |

What is Natural Language Processing & How It Works | NLP Python | NLP Using Python | Python | NLP | Hello Guys, Join this channel to get access to perks: https://www.youtube.com/channel/UC7A5u12yVIZaCO_uXnNhc5g/join You Must Complete This Before You Go :- https://www.youtube.com/watch?v=yBJUrn2tggo&t=1608s Related Topics :- programming,developer,javascript,web development,coding,programmer,software developer,software development,react js,tutorial,yt:cc=on,artificial intelligence with python,artificial intelligence tutorial,AI Python,artificial intelligence,artificial intelligence python,artificial intelligence using python,Artificial Intelligence Tutorial using Python,applications of artificial intelligence,Introduction to Artificial Intelligence,What is Artificial Intelligence,Machine learning basics,edureka,python edureka,ai python tutorial,ai python examples,artificial intelligence edureka,What is Artificial Intelligence With Full Information?,What is Artificial Intelligence in Hindi?,Artificial Intelligence Kya Hain?,What is artificial intelligence with examples? What is artificial intelligence in computer?,Artificial intelligence Animation Video,Benefits of artificial intelligence,Artificial intelligence future,Who started AI?,Where is Artificial Intelligence used?,What is the disadvantage of Artificial Intelligence?,Types of artificial intelligence,artificial intelligence,artificial intelligence course,machine learning,machine learning course,ai and machine learning,ai and machine learning full course,ai and machine learning tutorial,ai and machine learning for beginners,artificial intelligence and machine learning,artificial intelligence and machine learning course,machine learning algorithms,artificial intelligence tutorial,ai and ml,artificial intelligence full course,ai full course,artificial intelligence tutorial,artificial intelligence tutorial for beginners,artificial intelligence lecture,artificial intelligence projects,artificial intelligence course,artificial intelligence for beginners,ai artificial intelligence,ai,ai tutorial,ai tutorial for beginners,ai tutorial python,artificial intelligence training videos,simplilearn artificial intelligence,simplilearn