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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?
2 projects | /r/learnmachinelearning | 5 Aug 2022
https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera This guy has added all the quizzes and labs of this course.
What are some alternatives?
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction
cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University
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
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.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
tensorflow - An Open Source Machine Learning Framework for Everyone
machine_learning_basics - Plain python implementations of basic machine learning algorithms
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository