Teaching | RK

Teaching Materials & Tutorials

This collection includes tutorials, courses, and apps I’ve created over the years. Some materials may be outdated, so feel free to email me if you spot an error or would like further clarification.

Python for Data Science (in Russian)

Python for Data Science (in Russian)

Video recordings of online lectures on Python programming organized in June 2022.

Jun 1, 2022

Computational Models of Behavior, part 2

Computational Models of Behavior, part 2

How to fit reinforcement learning models to behavioral data using hierarchical Bayesian inference.

Nov 13, 2021

Computational Models of Behavior, part 1

Computational Models of Behavior, part 1

How to fit reinforcement learning models to behavioral data using Maximum Likelihood Estimation.

Oct 25, 2021

Python for Neuroscience

Python for Neuroscience

Free and interactive course designed to guide you through the basics of Python programming.

Sep 28, 2021

Bandit Cats and Exploration-Exploitation Trade-Off

Reinforcement Learning

Bandit Cats and Exploration-Exploitation Trade-Off

An interactive application that demonstrates the differences in reinforcement learning algorithms for dealing with the multi-armed bandit problem.

May 13, 2021

Intro to EEG Data Analysis

Intro to EEG Data Analysis

Preprocessing & Event-related potential (ERP) of EEG data taken from Cavanagh et al. (2019) experiment.

Feb 19, 2021

Who would you rather date, Bayes Factor or p-value?

Who would you rather date, Bayes Factor or p-value?

An overview of the differences between Frequentist and Bayesian approaches for the hypothesis testing.

Nov 14, 2020

Null Hypothesis Significance Testing, part 3

Null Hypothesis Significance Testing, part 3

Overview of the power and the effect size of the test and why low p-value is not always enough to make a decision.

Jun 2, 2020

Null Hypothesis Significance Testing, part 2

Null Hypothesis Significance Testing, part 2

Introduction to the inference for a population proportion using binomial test and $\chi^2$ test for independence.

May 22, 2020

ROC Curve Simulation

Machine Learning

ROC Curve Simulation

Calculations behind ROC (Receiver operating characteristic) curve for the binary classification problem.

May 18, 2020

Null Hypothesis Significance Testing, part 1

Null Hypothesis Significance Testing, part 1

Basic concept of the NHST and the idea of p-value. Overview of the inference for a population mean using one/two-sample $t$-tests and ANOVA.

May 8, 2020

Normal Approximation to Binomial Distribution

Normal Approximation to Binomial Distribution

Shiny app that demonstrates how binomial distribution can be approximated using the normal distribution.

Apr 25, 2020

How do CART models work

Machine Learning

How do CART models work

Overview of how classification and regression trees work behind the scenes using the binary classification example.

Apr 22, 2020

Bayes Rule and Disease Testing

Bayesian Inference

Bayes Rule and Disease Testing

An example of applying Bayes' rule in the context of a disease test.

Apr 10, 2020

How to Deal with Multi-Armed Bandit Problem

Reinforcement Learning

How to Deal with Multi-Armed Bandit Problem

How to get maximum performance of your A/B test when you have any prior information about users.

Apr 1, 2019