Machine Learning Intuition

This Blog contains the Summary Notes of Course 1 of Machine Learning Specialization at Coursera.

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Machine Learning Intuition

The Course 1 is about: Supervised Machine Learning: Regression and Classification.

Have a look at Week-Wise Content Summary:

1. Supervised Machine Learning: Regression and Classification

• Week 1 Notes

  Week 1 Lab - Model Representation, Cost Function, and Gradient Descent for Linear Regression   [HTML Web View]   [Jupyter-Notebook]

• Week 2 Notes

  Week 2 Lab - Multiple Variable Linear Regression   [HTML Web View]   [Jupyter-Notebook]

  Week 2 Lab - Features Scaling   [HTML Web View]   [Jupyter-Notebook]

  Week 2 Lab - Linear Regression using Sklearn   [HTML Web View]   [Jupyter-Notebook]

• Week 3 Notes

  Week 3 Lab - Sigmoid Function, Cost Function, and Gradient Descent for Logistic Regression   [HTML Web View]   [Jupyter-Notebook]