Space Science with Python - Cassini #4: Machine Learning based calibration

Repository: https://github.com/ThomasAlbin/Astroniz-YT-Tutorials/blob/main/%5BProject%5D-Cassini-CDA/01-Calibration/03_machine_learning_calibration.ipynb After taking a look at the already existing calibration functions, today, we will try to create a first "machine learning toy model" to calibrate CDA. For this purpose, we use Tensorflow and its high-level API keras. In the following videos we will refine our calibration attempt to create a production-ready model for future scientific analysis. Credit - Thumbnail: NASA/JPL-Caltech --- Content 0:00 Introduction 1:32 Coding - Intro 2:21 Coding - Read in the data 3:07 Coding - Plotting the calibration data in 3D 6:59 Coding - Data preparation 9:12 Coding - Machine Learning Training 13:35 Coding - Solution space in 3D 17:06 Summary & Outlook --- How to setup a local dev environment: https://www.youtube.com/watch?v=PWzvRDylbQA --- There is a lot to do and to learn and I hope you will join the journey. Meanwhile, if you have questions or ideas, reach out to me via: Mastodon: https://astrodon.social/@ThomasAlbin Twitter: https://twitter.com/MrAstroThomas Reddit: https://www.reddit.com/user/MrAstroThomas GitHub: https://github.com/ThomasAlbin Or drop a comment! Talk to you later, Thomas #space #science #Python #tutorial #datascience #cassini #nasa #saturn #ml #ai #machinelearning #deeplearning

Heart Disease Prediction Project Using Machine Learning Algorithms | Flask Deployment | UBprogrammer

Heart Disease Prediction Project Using Machine Learning Algorithms | Flask Deployment | UBprogrammer Support my efforts: https://www.buymeacoffee.com/ubprogrammer To Discuss Source Code and other projects like that, Please text me on: Whatsapp: +923484122900 Email: ubaidp1049@gmail.com Website: https://ubprogrammer.com/ Instagram: https://www.instagram.com/ubaidp1049/ LinkedIn: https://www.linkedin.com/in/ubaidahmadceh/ Related Keywords: heart disease prediction using python,healthcare,convolutional neural network,deep learning,keras,machine learning,alphacare,tensorflow,siraj raval machine learning, wired machine learning, learn machine learning, machine learning wired, machine learned, machine learning course, machine learning python, machine learning youtube, edureka machine learning, 5 levels machine learning, machine learning projects, machine learning explained, machine learning algorithms, machine learning hidden door, machine learning explanation, explanation machine learning, 5 levels of machine learning, machine learning for beginners, data science, data science 101, learn data science, datascience, data science course, data scientist, what is data science, data science tutorial, data science explained, data science with python, simplilearn data science, data science in 5 minutes, data science applications, data engineer, data science for beginners, introduction to data science, who is a data scientist, computer science, data scientist day in the life, what is data science for beginners, data mining, final year project ideas, final year projects for it, final year projects for cse, best final year projects for it, best final year projects for cse, final year projects for it and cse, best final year project ideas for it, best final year project ideas for cse, best final year projects for it and cse, final year projects for computer science, final year projects for information technology, best final year projects for it and cse for 2022, interview preparation tips, deeplearning, deep learning, learning, deep learning ai, basics of deep learning, deep learning tensorflow, deep learning full course, deep learning introduction, deep learning crash course, what is deep learning, deep learning tutorial, deep learning explained, simplilearn deep learning, introduction to deep learning, deep learning in 5 minutes, deep learning tutorial for beginners, intro to machine learning, machine learning tutorial, simplilearn, deep, artificial intelligence, learn artificial intelligence, artificial intelligence edureka, artificial general intelligence, what is artificial intelligence, artificial intelligence tutorial, types of artificial intelligence, artificial intelligence explained, artificial intelligence computers, artificial intelligence applications, general intelligence, artificial intelligence for beginners, introduction to artificial intelligence, superintelligence, computer intelligence, python, python 3, python 2020, python 2019, learn python, python course, python basics, python language, python tutorial, python programming, python full course, python crash course, python from scratch, python tutorial 2018, python for beginners, introduction to python, learn python programming, getting started with python, python programming language, python programming tutorial, programming, python (programming language), python tutorial for beginners, code with mosh, r programming, programming, r programming course, r programming tutorial, r programming training, r (programming language), data science with r programming, data exploration, training, data science training, machine learning, feature engineering, language, machine learning with r, r tutorial, data science, data analysis, data scientist, data visualization, r course, research, tutorial, data science tutorial, statistics, quantitative, visualization, statistical software, data, machine learning projects, machine learning project, python machine learning projects, machine learning projects in python, machine learning projects for beginners, machine learning, machine learning for beginners, python machine learning projects for beginners, python machine learning program, ai projects for beginners, ml project ideas, ml projects for beginners, ml project ideas for beginners, deep learning projects, deep learning, deep learning beginner, opencv projects, nlp projects, object detection projects, tensorflow projects, pytorch projects, forecasting deep learning, stock prediction, neural nets, object detection, style transfer, nlp, opencv, python, python projects, mini python projects, python beginner projects, mini projects, projects, python projects for beginners, 5 mini projects, UBprogrammer, ubprogrammer.com

XOR ML Example - AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 8

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation #AND #XOR #DeepLearning #Backpropagation **This video is best viewed with the 1080p60 HD setting Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Checkout out Part 5 of this series: https://youtu.be/9sBj6qcauLU Checkout out Part 6 of this series: https://youtu.be/6AYig0h5klY Checkout out Part 7 of this series: https://youtu.be/gMv91zngjLU GitHub Google Colaboratory notebooks Project_Template: https://github.com/BlackMagicAI/AI-ML-Workshop/blob/master/notebooks/Project_Template.ipynb Completed XOR Example Project: https://github.com/BlackMagicAI/AI-ML-Workshop/blob/master/notebooks/xor_project.ipynb Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 7 - (0:19) 2. XOR Solution Using A Neural Network - (2:01) 3. Machine Learning Workflow - (2:55) 4. XOR Project Tools - (3:59) 4. Open Google Colaboratory files - (4:37) 5. Library Imports - (9:05) 6. Data Preparation - (13:42) 7. Feature Extraction - (18:36) 8. Build Model - (28:48) 9. Train Model - (41:55) 10. Evaluate Model - (47:00) 11. Inference – Make Predictions - (52.21) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

Backpropagation - AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 7

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation #AND #XOR #DeepLearning #Backpropagation Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Checkout out Part 5 of this series: https://youtu.be/9sBj6qcauLU Checkout out Part 6 of this series: https://youtu.be/6AYig0h5klY Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 6 - (0:20) 2. Road to backpropagation - (1:52) 3. XOR Solution Using A Neural Network - (3:05) 4. Training Perceptrons - (5:42) 4. Error Function - (11:13) 5. Error Gradient - (14:51) 6. Delta Rule & Gradient Descent - (18:19) 7. Training using Backpropagation - (24:07) 8. Backpropagation Algorithm Summary - (28:06) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ References and Additional Resources Perceptron Training Rule https://youtu.be/7VV_fUe6ziw BACKPROPAGATION algorithm. How does a neural network learn ? A step by step demonstration. https://youtu.be/YOlOLxrMUOw What is backpropagation really doing? | Deep learning, chapter 3 https://youtu.be/Ilg3gGewQ5U Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 5

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 4 - (0:18) 2. Introduction to Neural Networks - (1:25) 3. Neural Networks: Learning and Training - (3:23) 4. Perceptrons - (5:41) 5. Perceptron Magic and Perceptron Anatomy - (8:16) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 4

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics - (0:24) 2. Introduction to Google Colaboratory - (4:41) 3. Open a Colaboratory Notebook - (2:13) 4. Colaboratory File Menu - (5:33) 5. Colaboratory runtime settings - (6:00) 6. Colaboratory Code and Text Cells - (7:20) 7. Left Panel Table of Content menu - (8:17) 8. Left Panel Code Snippets Menu - (8:42) 9. Left Panel File system Menu - (9:00) 10. Creating and Editing a Text Cell - (9:42) 11. Running Python code in a Code Cell - (11:30) 12. Creating a Code Cell and running Shell and Python commands - (13:10) 13. Clearing Cell output - (6:23) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 4

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics - (0:24) 2. Introduction to Google Colaboratory - (4:41) 3. Open a Colaboratory Notebook - (2:13) 4. Colaboratory File Menu - (5:33) 5. Colaboratory runtime settings - (6:00) 6. Colaboratory Code and Text Cells - (7:20) 7. Left Panel Table of Content menu - (8:17) 8. Left Panel Code Snippets Menu - (8:42) 9. Left Panel File system Menu - (9:00) 10. Creating and Editing a Text Cell - (9:42) 11. Running Python code in a Code Cell - (11:30) 12. Creating a Code Cell and running Shell and Python commands - (13:10) 13. Clearing Cell output - (6:23) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 3

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Tensor Definition - (2:17) 2. Introduction to TensorFlow and Keras - (4:41) 3. Keras Technology Stack - (7:11) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 2

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Machine Learning Pipeline Tools Overview - (2:15) 2. Machine Learning Pipeline Process - (6:10) 3. Machine Learning Work flow - ( 10:20) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 1

Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 1

Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject.