KwokHing / YandexCatBoost-Python-DemoLinks
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 5 years ago
Alternatives and similar repositories for YandexCatBoost-Python-Demo
Users that are interested in YandexCatBoost-Python-Demo are comparing it to the libraries listed below
Sorting:
- 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
- Some work on Kaggle data for fun☆64Updated 7 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆22Updated 10 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- ☆26Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- helpful resources for (big) data science☆33Updated 3 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- ☆30Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- ☆51Updated 6 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆23Updated 6 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- Deep learning in time series analysis☆13Updated 7 years ago
- ☆49Updated 5 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago