Hi there!

My name is Ruslan Klymentiev. Welcome to my blog.

This is the place where I post stuff related to:

- Machine Learning
- Probability & Statistics
- Data Visualization
- (and a bit of) Neuroscience

Want to improve your programming skills? Check out my free online course **Python for Neuroscience**!

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

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

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

Literature review for the final project at 2020 International Youth Neuroscience Association Summer Course.

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

Recent & Upcoming

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.

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.

The main types of charts. How to build graphs in Python using

`matplotlib`

, `seaborn`

and `plotly`

packages.