Transforming and Manipulating Data

Topic 19: Encoding and Transforming Data

• Lecture Video:

• Lecture Slides: Slides

• References:

  • One-hot encoding of categorical data in python

• Concept Quiz: Quiz

Topic 20: Pre-Processing Data

• Lecture Video:

• Lecture Slides: Slides

• References:

  • Data Pre-processing with python

  • Examples Code with for Data Encoding and Data Pre-Processing

• Concept Quiz: Quiz

Topic 21: Sources of Bias in Model Interpretation and Usage

• Lecture Video:

• Lecture Slides: Slides

• References:

  • Dealing with Data Imbalance

  • A Classification Procedure for Highly Imbalanced Class Sizes

  • A Framework of Rebalancing Imbalanced Healthcare Data for Rare Event Classification

  • Bias in Machine Learning: How Facial Recognition Models Show Signs of Facism, Sexism, and Ageism

  • Machine Bias

  • Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

• Concept Quiz: Quiz

Topic 22: Variable Selection

• Lecture Video:

• Lecture Slides: Slides

• References:

  • Feature Selection Using sklearn

• Concept Quiz: Quiz

Topic 23: Principal Component Analysis

• Lecture Video:

• Lecture Slides: Slides

• References:

  • Principal Component Analysis in Machine Learning

• Concept Quiz: Quiz

Exploratory Notebooks

1. Data Preprocessing and Model Interpretation Notebook

2. PCA and Dimensionality Reduction