Starter Syllabus (ML and Neural Networks) | Notion

Python

#1 Python Tutorial for Beginners | Introduction to Python

Practice Python

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Misc Python Notes

Classical ML with Python

Efficient Python Tricks and Tools for Data Scientists — Effective Python for Data Scientists

Neural Networks

Assignments and Exercises : Up to Exercise 5

https://github.com/dibgerge/ml-coursera-python-assignments

Lecture 1.1 - What Is Machine Learning - [ Machine Learning | Andrew Ng ]

Lecture 1.2 - Supervised Learning - [ Machine Learning | Andrew Ng ]

Lecture 6.1 - Logistic Regression | Classification - - [ Machine Learning | Andrew Ng]

Lecture 6.2 - Logistic Regression | Hypothesis Representation - [ Machine Learning | Andrew Ng]

Lecture 6.3 - Logistic Regression | Decision Boundary - [ Machine Learning | Andrew Ng]

Lecture 6.4 - Logistic Regression | Cost Function - [ Machine Learning | Andrew Ng]

Lecture 6.5 - Logistic Regression | Simplified Cost Function And Gradient Descent - [ Andrew Ng]