Machine Learning Handbook

Table of Contents

• 1.0.0 - Introduction

  • 1.1.0 - History of Machine Learning
  • 1.2.0 - Python Ambient - Anaconda, Colab Kaggle
  • 1.3.0 - Python Programming
  • 1.4.0 - Big Data - Spark, Hadoop
  • 1.5.0 - Data Prep, ETL and SQL
  • 1.6.0 - Statistics
  • 1.7.0 - Mathematics and Linear Algebra

• Pre Processing

• Supervised Learning

• Unsupervised Learning

• Deep Learning and Neural Networks

• Reinforcement Learning

• Computer Vision

• Natural Language Processing

• Time Series