This page provides the links to all the blog posts related to statistical aspects of machine learning.
- Scales of Measurement - Data types: Nominal, Ordinal, Interval and Ratio scale
- Handling Missing Values in Python
- Handling Outliers in Python
- Confusion Matrix, Accuracy, Precision, Recall, F score explained with an example
- Data Preprocessing - Creating Dummy Variables and Converting Ordinal Variables to Numbers with Examples
- Exploratory data analysis
- Occam's Razor, Bias-Variance Tradeoff, No Free Lunch Theorem and The Curse of Dimensionality
- Train-Test split and Cross-validation