Introduction to Data Science

Below a list of notebooks from Introduction to Data Science, W&M:

• Describing Univariate Data

• Scatterplots and Correlation

• Feature Scaling and Plotting Data

• Dimensionality Reduction

• Data Description

• Linear Regression

• Model Validation

• Regularization

• KNN

• Logistic Regression

• Decision Trees and Random Forests

• K Means

• Clustering: genome analysis