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