The exercises and examples from Data Science From Scratch by Joel Grus in Jupyter notebooks with examples done using Bokeh. Most of the code is from the book and was written by Joel Grus and his version of the code from the book is data-science-from-scratch. This is what I am creating as I go through the book and attempt to learn the material and Bokeh.
- Introduction
- A Crash Course in Python
- Visualizing Data
- Linear Algebra
- Statistics
- Probability
- Hypothesis and Inference
- Gradient Descent
- Getting Data
- Working With Data
- Machine Learning
- k-Nearest Neighbors
- Naive Bayes
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
- Decision Trees
- Neural Networks: TODO
- Clustering: TODO
- Natural Language Processing: TODO
- Network Analysis: TODO
- Recommender Systems: TODO
- Databases and SQL: TODO
- MapReduce: TODO
- Go Forth And Do Data Science: TODO