361 Open source projects that are alternatives of or similar to Home Credit Default Risk

Material of the Kaggle Berlin meetup group!

Open solution to the Home Credit Default Risk challenge 🏡

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Kaggle getting started competition examples

Fast k-Nearest Neighbors Classifier for Large Datasets

Code for Kaggle and Offline Competitions

Earthquake Prediction Challenge with LightGBM and XGBoost

Paraphrase question identification using Feature Fusion Network (FFN).

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Comparison tools

LAMA - automatic model creation framework

Automatic machine learning for tabular data. ⚡🔥⚡

Allstate Kaggle Competition ML Capstone Project

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

[UNMAINTAINED] Automated machine learning for analytics & production

Solution to the Outbrain Click Prediction competition

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Show how to perform fast retraining with LightGBM in different business cases

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

a solution for competition of kaggle `Human or Robot`

Code for Kaggle Data Science Competitions

A repository for some of the code I used in kaggle data science & machine learning tasks.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

MLBox is a powerful Automated Machine Learning python library.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

使用sklearn做特征工程

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Serverless Inferencing on Kubernetes

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Open solution to the Santander Value Prediction Challenge 🐠

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

A curated list of gradient boosting research papers with implementations.

Solution for Avito Duplicate Ads Detection competition

bert on Jigsaw Unintended Bias in Toxicity Classification

Feature exploration for supervised learning

深度学习在推荐系统中的应用及论文小结。

Comprehensive toolkit for generating various numerical features of protein sequences

An open source python library for automated feature engineering

Code for National Data Science Bowl. 10th place.

Alpine Container for Machine Learning

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Solution to Kaggle - Web Traffic Time Series Forecasting

Kaggle datascience bowl 2017

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

A curated list of feature engineering techniques for image and text machine learning

kaggleのporto-seguro-safe-driver-prediction, michaelのsolver