Ruslan Klymentiev

Ruslan Klymentiev

50% Data Scientist, 50% Neuroscientist


class AboutMe:
    def __init__(self, name=None): = name
        self.interests = []
    def me(self, life_credo, learning=True):
        self.life_credo = life_credo
        if learning:
            self.activity = 'learning'
            self.activity = 'traveling'
    def add_interest(self, interest):
        if interest not in self.interests:

RK = AboutMe(name='Ruslan Klymentiev')'Never stop learning')
RK.add_interest('computational psychiatry')
RK.add_interest('decision making')
RK.add_interest('Bayesian statistics')
Want to improve your programming skills? Check out my free online course Python for Neuroscience!

Recent Posts

Computational Models of Behavior, part 2

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

Computational Models of Behavior, part 1

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

EEG Data Analysis

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

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

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

A (not that simple) Least Squares Regression

Overview of the math behind an Ordinary Least Squares method, and what is needed to be taken into consideration when fitting a regression line.


Recent & Upcoming

Who would you rather date, Bayes Factor or p-value? (in Russian)

Have you ever wondered what is the difference between Frequentist and Bayesian statistics? In this tutorial we went over the basic concepts of both approaches using inference for a proportion as an example.

How to start career in Data (in Russian)

In this episode of DEVrepublik podcast I talked about my story how I got into Data Science field (spoiler, electronic engineering-fitness-marketing-data) and discussed what main skills are needed for a fresh data enthusiast.

Statistical Hypothesis Testing (in Russian)

Main idea of the Null Hypothesis Significance Testing. Intuition behind the p-value. How to perform t-tests, ANOVA, Binomial Test and Chi-squared Test.