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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1. Basics of linear algebra¶

4. Plotting in Python 2. Optimisation for machine learning

By Dawie van Lill
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