KwokHing / YandexCatBoost-Python-Demo
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
☆30Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for YandexCatBoost-Python-Demo
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 8 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆10Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 6 years ago
- ☆22Updated last year
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- Some work on Kaggle data for fun☆64Updated 7 years ago
- Examples of implementations of WTTE-RNN☆33Updated 6 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆22Updated 9 years ago
- ☆51Updated 6 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 6 years ago
- Public solution for AutoSeries competition☆72Updated 4 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 7 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Time Series Forecasting Framework☆41Updated last year
- helpful resources for (big) data science☆33Updated 3 years ago
- Unwrapping decision trees and random forests to make them less of a black box☆62Updated 7 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆50Updated 2 years ago
- Sharing my solutions to data science hackathons conducted by Analytics Vidhya☆11Updated 6 years ago
- Multiple change detection with python☆22Updated 5 years ago
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆18Updated 6 years ago
- This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya☆22Updated 6 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Supplementary Material for Machine Learning for Time Series Analysis☆19Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆17Updated 7 years ago