Cheat Sheets for Machine Learning and Data Science

This page contains cheat sheets for various Machine Learning related topics that can come in handy either during ML/DS interviews, or your daily data-scientist life. The page is updated continuously for more cheatsheets.

Machine Learning:

1. Bias-Variance Tradeoff

2. Imbalanced Data in Classification

3. PCA Dimensionality Reduction

4. Bayes' Theorem and Classifier

5. Regression Analysis

6. Regularization in ML

7. Convolutional Neural Network

8. Famous CNNs

9. Ensemble Methods in Machine Learning

Interview Preparation:

1. Data Structures

2. How to prepare for coding interviews?

3. How to prepare for behavioral interview?

3. How to prepare for behavioral interview?

4. How to answer a behavioral question?

4. How to answer a behavioral question?