alishakiba/data-mining-fall-2022

Welcome to the "Data Mining" course at the Vali-e-Asr University of Rafsanjan

News

• Oct 25, 2022: Due date for Exercise 1 is extended and initialization guide is added.
• Nov 1, 2022: Due date for Exercise 1 is extended and the source code for the next session is added.
• Some test files where added for demo.

How-to

• Initialization and getting started

Source Codes:

• Session 4 (Basic Classifier): Basic Classification Methods (based on the Chapter 3 of Hands-On Machine Learning with Scikit-Learn and TensorFlow)
• Session 7 (Linear Regression): Linear regression, Gradient Descent and variants, polynomial features (based on the Chapter 3 of Hands-On Machine Learning with Scikit-Learn and TensorFlow)

Exercises:

1. (Due date: 2022-11-09) Run the Basic Classifier notebook for the dataset of your choice, other than MNIST, and try to get used to the sklearn library and the way the methods are used. You can find a list of possible datasets at OpenML.