This tutorial series is perpared by Chun-Kit Yeung
This is a repository to store the tutorials materials for COMP4211 - Mahcine Learning in HKUST.
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 1 (2018-02-09)
- Introduction of the tutorial
- Azura Machine Learning Studio
- Introduction to Python
- 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
- 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
- Sentiment Analysis in scikit-learn(Toy example)