Resource of free step by step video how to guides to get you started with machine learning.
Saturday, March 9, 2024
48 Deploy Machine Learning Model using Flask part 1
🏠 **Household Price Prediction Playlist - MNIST Digit Classification** Welcome to our exciting playlist on "Household Price Prediction" using the MNIST digit classification dataset! 🚀 In this series, we dive into the fascinating world of machine learning and explore how classification algorithms can be applied to predict household prices based on handwritten digits. 📌 **Video Index:** 1. **Introduction to MNIST Dataset:** Get to know the MNIST dataset, a benchmark for machine learning models, and understand its significance in the realm of computer vision. 2. **Building a Foundation with scikit-learn:** Learn the basics of classification using scikit-learn, a powerful machine learning library in Python. We'll walk you through SVMs (Support Vector Machines) to establish a solid foundation. 3. **Deep Learning with TensorFlow and Keras:** Take a deep dive into neural networks with TensorFlow and Keras. Discover how convolutional neural networks (CNNs) enhance the accuracy of digit classification, laying the groundwork for predicting household prices. 4. **Data Preprocessing and Feature Engineering:** Explore the crucial steps of preparing your data for machine learning. We'll cover techniques such as normalization and feature engineering to enhance model performance. 5. **Model Training and Evaluation:** Witness the training process of our models on the MNIST dataset and evaluate their performance using various metrics. Understand the importance of splitting data into training and testing sets. 6. **Visualization of Predictions:** Gain insights into the predictions made by our models. We'll visually interpret the results, showcasing the predicted and actual digits side by side. 🚀 **Why House Prices?** - The integration of MNIST digit classification into household price prediction models is an exciting approach. By associating digits with specific features or patterns in house-related data, we aim to predict prices more accurately. 🔗 **Playlist Link:** [Insert Your Playlist Link Here] 👍 **Don't forget to subscribe, like, and hit the notification bell to stay updated on the latest videos in our "Household Price Prediction" series! Let's embark on this machine learning journey together. 🤖🏡✨**
Subscribe to:
Post Comments (Atom)
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
JavaやC++で作成された具体的なルールに従って動く従来のプログラムと違い、機械学習はデータからルール自体を推測するシステムです。機械学習は具体的にどのようなコードで構成されているでしょうか? 機械学習ゼロからヒーローへの第一部ではそのような疑問に応えるため、ガイドのチャー...
-
#deeplearning #noether #symmetries This video includes an interview with first author Ferran Alet! Encoding inductive biases has been a lo...
-
How to Do PS2 Filter (Tiktok PS2 Filter Tutorial), AI tiktok filter Create your own PS2 Filter photos with this simple guide! 🎮📸 Please...
-
#ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane requirements...
-
K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14 [Collection] In the last part we introduced Class...
-
Challenge scenario You were recently hired as a Machine Learning Engineer at a startup movie review website. Your manager has tasked you wit...
-
We Talked To Sophia — The AI Robot That Once Said It Would 'Destroy Humans' [Collection] This AI robot once said it wanted to de...
-
Programming R Squared - Practical Machine Learning Tutorial with Python p.11 [Collection] Now that we know what we're looking for, l...
-
RNN Example in Tensorflow - Deep Learning with Neural Networks 11 [Collection] In this deep learning with TensorFlow tutorial, we cover ...
No comments:
Post a Comment