Comparing things: The Bayesian approach, by Michał Oleszak

SVM Kernels: What Do They Actually Do?, by Michał Oleszak

Object-Oriented Programming in Python

List: Recommendation System, Curated by Kishor Kukreja

Instrumental variables & causality.

Not-so-naive Bayes. Improved Bayesian classifier.

Useful Probability Distributions With Data Science Problems

Model Optimization with TensorFlow, by Michał Oleszak

Estimating Performance of Regression Models Without Ground-Truth, by Michał Oleszak

Estimating Performance of Regression Models Without Ground-Truth, by Michał Oleszak

List: statistics, Curated by Blinkman14

Monte Carlo Dropout Towards Data Science

Uses of Probability Distributions

Estimating the state of the economy with finite-mixture models and the EM algorithm, by Michał Oleszak