Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Machine-Learning-Specialization-Coursera
| Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions | Machine-Learning-Specialization-Coursera | |
|---|---|---|
| 1 | 6 | |
| 1,889 | 2,869 | |
| - | - | |
| 10.0 | 3.6 | |
| over 1 year ago | 12 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
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Best Reinforcement Learning course?
You should also consider solving the problems, but here is the solutions in case you are stuck with some problem.
Machine-Learning-Specialization-Coursera
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Linear Algebra for Programmers
I cannot recommend Andrew Ng's courses on Machine Learning enough. Something like this seems like it would cover everything you're looking for.
https://www.coursera.org/learn/machine-learning
I cannot speak to the author of the content of this github repo, but it appears they have completed the course and included all of the solutions here. It might let you jump right to what you're looking for.
https://github.com/greyhatguy007/Machine-Learning-Specializa...
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Stupid question but help with Andrew Ng course
github link : GitHub - greyhatguy007/Machine-Learning-Specialization-Coursera: Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
- Machine Learning Specialization
- Alternatives to Andrew Ng's Machine Learning course on Coursera
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Is there no way to do the labs exercises on Coursera unless I pay for it?
Found this and it may have some of the labs https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera
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I'm a highly motivated undergrad from a 3rd world country who is unable to afford the paid version of new Andrew NG course. What can I do about the labs?
https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera This guy has added all the quizzes and labs of this course.
What are some alternatives?
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University
Data_Structures_and_Algorithms_in_Python - :book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Car-Price-Prediction - A machine learning project that predicts the price of used cars in the UK
machine_learning_basics - Plain python implementations of basic machine learning algorithms
F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results