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harishmuh / repository
This repository contains curated resources, notebooks, and exercise solutions for Machine Learning Specialization course by Stanford Univeristy and DeepLearning.AI (2026) by Prof. Andrew Ng
This repository contains curated resources, notebooks, and exercise solutions for the Machine Learning Specialization by Prof. Andrew Ng on Coursera.
Week 1 - Introduction to machine learning
Week 2 - Regression with multiple input variables
Week 3 - Classification
Week 1 - Neural Networks
Week 2 - Neural network training
Week 1 - Unsupervised learning
Selected from shared topics, language and repository description—not editorial ratings.
TouradBaba /
This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.
akashanupkumar1123 /
This repository contains Jupyter notebooks from Andrew Ng's courses, intended solely for educational and personal learning purposes. All rights to the original course content and materials belong to their respective copyright holders. This repository is not associated with, endorsed by, or affiliated with Andrew Ng or any of his courses.
Week 3 - Advice for applying machine learning