Data Science from Scratch #
First Principles with Python
Chapters #
- Introduction
- A Crash Course In Python
- Visualizing Data
- Linear Algebra
- Statistics
- Probabilty
- Hypothesis and Inference
- Gradient Descent
- Getting Data
- Working With Data
- Machine Learning
- K-Nearest Neighbours
- Naive Bayes
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
- Decision Trees
- Neural Networks
- Deep Learning
- Clustering
- Natural Language Processing
- Network Analysis
- Recommender Systems
- Databases and SQL
- MapReduce
- Data Ethics (No coding)
- Go Forth and Do Data Science (No coding)