Below you’ll find a list of links to lecture notes and code as well as links to homework assignments, lab session materials, slack channels for asking questions, and additional reference material.

Lecture Materials

Week 1 - Day 1 Materials:

Machine Learning Introduction - Prof. Till

logistic Regression - Dr. Khan

Performance Metrics - Mr. Asad

Week 2 - Day 1 Materials:

DSI Workshop Introduction to Practical Cross Validation - Dr. Mandla

Codes - Dr. Mandla

DSI_Practical_ML_Python_CV.ipynb - Dr. Mandla

Introduction_to_Python_Coding.ipynb - Dr. Mandla

IrisPlotExample.ipynb - Dr. Mandla

iris.data - Dr. Mandla

Week 2 - Day 2 Materials:

The caret Package

Example of using caret in Rmd file

Week 2 - Day 3: Applications

These datasets downloaded from kaggle Heart Disease Dataset and Heart Failure Prediction Dataset.

Download the R Markdown file: W2D3_Applications.Rmd