Data Science 871

Data Science for Economics and Finance

Python

1. Getting started with Python
2. Working with data using Pandas
3. Scientific computing
4. Plotting in Python

Math for Machine Learning

1. Basics of linear algebra
2. Optimisation for machine learning

Linear models

1. Linear regression

Non-linear models

1. Polynomial regression

Classification basics

1. K-Nearest neighbours

Tree-based methods

1. Decision trees

Support vector machines

1. Maximal margin classifier

Neural networks

1. Neural networks

Databases

1. Relational databases

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Contents

1. Decision trees
2. Bagging
3. Random Forests
4. Boosting

1. Decision trees¶

2. Bagging¶

3. Random Forests¶

4. Boosting¶

1. K-Nearest neighbours 1. Maximal margin classifier

By Dawie van Lill
© Copyright 2020.