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 6 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:
- A Keras-based library for analysis of time series data using deep learning algorithms.☆116Updated 8 years ago
- Demand Forecasting Models for Kaggle competition☆88Updated 7 years ago
- ☆49Updated 6 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆75Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Multiple change detection with python☆23Updated 7 years ago
- ☆97Updated 7 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 9 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- ☆136Updated 7 years ago
- ☆50Updated 7 years ago
- Deep learning in time series analysis☆13Updated 7 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 7 years ago
- Time Series Forecasting Framework☆41Updated 3 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 9 years ago
- Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series☆68Updated 8 years ago
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆18Updated 8 years ago
- Public solution for AutoSeries competition☆72Updated 6 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆64Updated 2 years ago
- An LSTM Autoencoder for rare event classification☆107Updated 6 years ago
- Some work on Kaggle data for fun☆64Updated 8 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆103Updated 6 years ago
- Better `keras` models for time series and beyond☆61Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.☆71Updated 2 years ago
- A fast xgboost feature selection algorithm☆232Updated 4 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare☆45Updated 8 years ago