/Introduction-to-Machine-Learning

Introductory Course on Machine Learning in Python

Primary LanguageJupyter Notebook

Introduction to Machine Learning in Python

Course Structure

Module 1 - Getting Familiar with Numpy

Module 2 - Linear Regression

Module 3 - Logistic Regression

Module 4 - Neural Networks : Representation and Forward pass

Moudle 5 - Neural Networks : Learning and Backpropagation (Coming Soon!!)

Setup

  1. Install Anaconda for Python3 from https://www.anaconda.com/download/
  2. Install Git https://www.atlassian.com/git/tutorials/install-git
  3. Clone/Download this repository
  4. How Jupyter notebook works! http://cs231n.github.io/ipython-tutorial/?fbclid=IwAR2ZhC3strNko9CmKJdskF4tt4ERMNviWVoj4wr9pBsQ3dsfJrxK1JF5UDc
  5. Launch the Jupter Notebook in the Module 1 sub-directory