legrandian

legrandian

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Oversampling-Techniques-for-Imbalanced-Data

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

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Feature-Engineering-and-Selection-in-Python

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

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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.

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Archigos

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

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Association-Rules-Analysis-for-Heart-Disease-Data

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

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Conversion-Rate

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

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COVID-19-Data-Tracker

Tracking how the coronavirus is spreading around the world.

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Customer-Churn-Prediction

Churn prediction for customer retention. Based on Telco data.

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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.

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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.

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Category-Encoding-Experiment

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

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clv

customer lifetime value BG/NBD model

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Employee-Retention

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

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Kazakhstan-Migration

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

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Kazakhstan-Unemployment

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

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KrishaScrapy

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

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Recommender-Systems-Showdown

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

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Shelter-Animal-Outcome-Predictor

Machine learning tool for predicting shelter animal outcome.

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stattests

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

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Transfer-Learning-With-TensorFlow-Hub

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

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Undersampling-Techniques-Comparison-for-Imbalanced-Data

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

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Virtual-Realtor

Whatsapp bot for estimating prices of apartments in Kazakhstan.

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