This Blog contains the Summary Notes of Course 1 of Machine Learning Specialization at Coursera.
You can access/view this site in two ways:
The Course 1 is about: Supervised Machine Learning: Regression and Classification.
Have a look at Week-Wise Content Summary:
Week 1 Lab - Model Representation, Cost Function, and Gradient Descent for Linear Regression[HTML Web View] [Jupyter-Notebook]
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 Lab - Sigmoid Function, Cost Function, and Gradient Descent for Logistic Regression[HTML Web View] [Jupyter-Notebook]