🏆2nd solution in web ad CTR predict competition🏆

Scalable Python DS & ML, in an API compatible & lightning fast way.

Performance of various open source GBM implementations

Time series forecasting with scikit-learn models

Build a Web App called AI-Powered Heart Disease Risk Assessment App

📘 The MLOps stack component for experiment tracking

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Simple and Distributed Machine Learning

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Hard fork of curso-r/treesnip specifically for CCAO LightGBM regressions

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

TSForecasting: Automated Time Series Forecasting Framework

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

Recommender system using XGBOOST, Neural_Network, Ensemble and LGBM

Train Gradient Boosting models that are both high-performance *and* Fair!

Generate insights and rankings for potential candidates

Cambridge UK temperature forecast python notebooks