Bytemotion ML Masterclass 2016

Interactive masterclass on some Machine Learning concepts taken place at the Bytemotion Association for Technology location on the 28th and 29th of December 2016.

Main Goal: having fun, learning something
Specific goals: understand some basic concepts in Machine Learning/Supervised Learning and familiarise with Python for Data Science

The ``masterclass'' is meant to be interactive!

Software Requirements

We'll use Python (2.7) and its libraries for Data Science. Can install them with the package manager pip

pip install sklearn
pip install jupyter
pip install matplotlib
pip install pandas

Programme and Tasks

Data minining and manipulation

This notebook gives a super quick overview of Numpy and Pandas for data manipulation / data mining in Python. Just the basics to get us started.

Classification

We'll perform a classification of Iris flowers using a Decision Tree and a later a Random Forest.

Regression

We'll predict the brain weight of humans given the head size. Then we'll predict the rating given to cereals given their nutritional attributes.

Data

The data we will use is referenced and described in the specific notebooks.

the Iris dataset for classification
The head size - brain weight dataset for simple linear regression
The healthy breakfast dataset for multiple linear regression