Machine Learning

This repository contains notes and jupyter notebooks to be used for the machine learning and python introduction by the Microsoft Tech Community at Dedan Kimathi University of Technology. This repo will be regularly updated.

Currently the notebooks available are

1. Introduction to Machine Learning
2. Introduction to Python
3. Classification I - Introduction to classification, K-nearest neighbour
4. Classification II - The perceptron

Requirements

To run this notebooks you will need

1. Python 3
2. Sklearn
3. Tensorflow
4. Keras

Focus

The focus will be on building machine learning applications. Links to relevant theory will be provided.

Important resources

Books

1. Pattern Recognition and Machine Learning
2. Deep Learning

Tutorials

1. Andrej Karpathy's notes for the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition