Data science from Scratch (Paperback, 2nd)

Preface to the Second Edition

Preface to the First Edition

1.Introduction
2.A Crash Course in Python
3.Visualizing Data
4.Linear Algebra
5.Statistics
6.Probability
7.Hypothesis and Inference
8.Gradient Descent
9.Getting Data
10.Working with Data
11.Machine Learning
12.k-Nearest Neighbors
13.Naive Bayes
14.Simple Linear Regression
15.Multiple Regression
16.Logistic Regression
17.Decision Trees
18.Neural Networks
19.Deep Learning
20.Clustering
21.Natural Language Processing
22.Network Analysis
23.Recommender Systems
24.Database and SQL
25.MapReduce
26.Data Ethics
27.Go Forth and Do Data Science

Index