Machine-Learning-2018

Introduction

The book for the course: "Machine Learning in Action, ISBN 9781617290183"

The book contains a few errors in the code examples, there are updated versions of the examples on the books GitHub page.: https://github.com/pbharrin/machinelearninginaction

Course content

Workshop 1: (2/2-2018)

Reading: Chapter 1 + 2
Subjects:
    * PyCharm
    * Python (Syntax, operators, OOP (Linked List), NumPy)
    * Supervised (kNN)
Preparation:
    * Read chapters, install pycharm, install python 2.7

Workshop 2: (16/2-2018)

Reading: Chapter 3 + 4
Subjects:
    * Supervised (DT, Naive Bayes)
    * Cleaning Datasets
Preparation:
    * Read chapters

Workshop 3: (23/2-2018)

Reading: Chapter 10 + 11 + 12
Subjects:
    * Unsupervised (FP-Tree, Apriori)
Preparation:
    * Read chapters

Workshop 4: (2/3-2018)

Reading: ???
Subjects:
    * Neural Network
    * Which algorithm and how to approach a problem.
Preparation:
    * ???