Machine Learning

To make machine learning and understand machine learning

9 Tree-based Methods

Decision trees are a simple model for decision. Yet combined with other methods, decision trees can be quite powerful.

8 Bayesian Methods

Machine learning based on bayesian statistics

7 Embedding

Embedding was one of the first ideas on computers and it is still the key component of machine learning

5 Linear Models

Linear models are very useful for baseline models.

4 Machine Learning Performance

Benchmarking the performance of models

3 Feature Engineering

In the industry, we spend a lot of time working on feature engineering.

2 Machine Learning Basics

Some basics of machine learning