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archigos

D3.js visualization tool for political leaders and democracy-************ scores based on the Archigos and Polity IV data.

association-rules-analysis-for-heart-disease-data

Finding interesting relations in the patient data from the UCI heart disease database.

category-encoding-experiment

An experiment showcasing various encoding techniques on categorical variables with a lot of levels. The classic Titanic data set is used.

clv

customer lifetime value BG/NBD model

conversion-rate

Predict conversion rate and come up with recommendations for the product team and the marketing team to improve conversion rate.

covid-19-data-tracker

Tracking how the coronavirus is spreading around the world.

customer-churn-prediction

Churn prediction for customer retention. Based on Telco data.

data_analytics_examples

employee-retention

Predict when employees are going to quit by understanding the main drivers of employee churn.

ether-simple-storage

feature-engineering-and-selection-in-python

Python code for examples from the book "Feature Engineering and Selection" by Max Kuhn and Kjell Johnson

kazakhstan-migration

D3.js visualization of international migration dynamics in Kazakhstan from 2000 to 2017.

kazakhstan-unemployment

D3.js visualization for the unemployment rate in Kazakhstan from 2001 to 2016.

krishascrapy

Scrapy tool for collecting Kazakhstan real estate data from http://krisha.kz.

mind-your-units-in-a-b-experiments

A simulation showing the effects of accounting for (or ignoring) the group structure in a group-randomized experiment.

oversampling-techniques-for-imbalanced-data

Comparison of SMOTE, Borderline SMOTE, SVM SMOTE and Random Over-Sampler for highly imbalanced data.

recommender-systems-showdown

Comparing error rates and model performance of popular recommendation system algorithms.

shelter-animal-outcome-predictor

Machine learning tool for predicting shelter animal outcome.

spanish-translation-ab-testing

A/B tests play a huge role in website optimization. Analyzing A/B tests data is a very important data scientist responsibility. Especially, data scientists have to make sure that results are reliable, trustworthy, and conclusions can be drawn.

stattests

Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests

tesla-valuation-and-share-price-forecast-in-2025

Monte Carlo model in Python for estimating the share price for Tesla in 2025 based on ARK Invest's assumptions.

transfer-learning-with-tensorflow-hub

Image classification of flowers using transfer learning based on Inception V3.

undersampling-techniques-comparison-for-imbalanced-data

This is an experiment that compares performance and visualizes various undersampling techniques for highly imbalanced data.

virtual-realtor

Whatsapp bot for estimating prices of apartments in Kazakhstan.