guided-machine-learning

Self learning guide for machine learning

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A Learning Path for Machine Learning (ML)

A guided self learning path for Machine Learning

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License

Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This guide is copyrighted to Sujee Maniyam and Elephant Scale Inc (2020)

The articles and videos referenced in this guide are owned, copyrighted by their respective owners.


Learning Path

Intro

Books

Provided as a reference. We will reference specific chapters throughout the guide.

Useful links for ML.

Data

Part 1 - Prerequisites for ML

Python Basics

Python Data Analysis

Part 2 - Essential Machine Learning

Feature Engineering

Intro to Machine Learning

SciKit-Learn Library

Regression

Linear Regression

Classification

Logistic Regression

Support Vector Machines (SVM)

Naive Bayes (NB)

ML Concepts

Cover this section as needed.