yjbang / comp4211_spring2018

This is a repository for the tutorial materials in machine learning (COMP4211) in HKUST.

COMP4211 (Spring2018)

This tutorial series is perpared by Chun-Kit Yeung

This is a repository to store the tutorials materials for COMP4211 - Mahcine Learning in HKUST.

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To download any single file in this tutorial, you may follow this link.

Or you can clone this repository by:

git clone https://github.com/ckyeungac/COMP4211_Spring2018.git

Tutorial Schedule:

1. Tutorial 1 (2018-02-09)
   • Introduction of the tutorial
   • Azura Machine Learning Studio
   • Introduction to Python
2. Tutorial 2 (2018-02-23)
   • Introduction of machine learning work flow
   • Introduction to Numpy
   • Iris classification problem in scikit-learn
     • Iris dataset
     • Naive Bayes classifier
     • Train-test split
     • Accuracy
3. Tutorial 3 (2018-03-02)
   • Sentiment Analysis in scikit-learn(Toy example)
     • Artificial neural network (ANN)
     • Text Vectorization
     • K-fold cross-validation (Only basic knowledge included, the detail implementation is left for your assignment 1)
   • Assignment 1
     • 20 newsgroups dataset