All Projects → Open Solution Home Credit → Similar Projects or Alternatives

1601 Open source projects that are alternatives of or similar to Open Solution Home Credit

Open Solution Value Prediction
Open solution to the Santander Value Prediction Challenge 🐠
Stars: ✭ 34 (-91.44%)
Open Solution Mapping Challenge
Open solution to the Mapping Challenge 🌎
Stars: ✭ 291 (-26.7%)
Mutual labels:  competition, kaggle, pipeline, lightgbm
Mlbox
MLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+202.02%)
Mutual labels:  kaggle, pipeline, xgboost, lightgbm
AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-87.15%)
Mutual labels:  xgboost, lightgbm, feature-engineering
fast retraining
Show how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (-85.89%)
Mutual labels:  kaggle, xgboost, lightgbm
HumanOrRobot
a solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-95.97%)
Mutual labels:  kaggle, xgboost, lightgbm
docker-kaggle-ko
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (-88.41%)
Mutual labels:  kaggle, xgboost, lightgbm
Benchmarks
Comparison tools
Stars: ✭ 139 (-64.99%)
Mutual labels:  kaggle, xgboost, lightgbm
kaggle-berlin
Material of the Kaggle Berlin meetup group!
Stars: ✭ 36 (-90.93%)
Mutual labels:  kaggle, xgboost, feature-engineering
Apartment-Interest-Prediction
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-95.72%)
Mutual labels:  kaggle, xgboost, lightgbm
Auto ml
[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+292.7%)
Mutual labels:  xgboost, feature-engineering, lightgbm
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+142.07%)
Mutual labels:  xgboost, feature-engineering, lightgbm
Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Stars: ✭ 31 (-92.19%)
Mutual labels:  kaggle, xgboost, lightgbm
MSDS696-Masters-Final-Project
Earthquake Prediction Challenge with LightGBM and XGBoost
Stars: ✭ 58 (-85.39%)
Mutual labels:  kaggle, xgboost, lightgbm
Steppy Toolkit
Curated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-94.71%)
Mutual labels:  pipeline, open-source, reproducibility
Open Solution Toxic Comments
Open solution to the Toxic Comment Classification Challenge
Stars: ✭ 154 (-61.21%)
Mutual labels:  competition, kaggle, pipeline
Lightautoml
LAMA - automatic model creation framework
Stars: ✭ 196 (-50.63%)
Mutual labels:  kaggle, pipeline, feature-engineering
My Data Competition Experience
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
Stars: ✭ 271 (-31.74%)
Mutual labels:  xgboost, feature-engineering, lightgbm
Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+63.22%)
Mutual labels:  xgboost, feature-engineering, lightgbm
Steppy
Lightweight, Python library for fast and reproducible experimentation 🔬
Stars: ✭ 119 (-70.03%)
Mutual labels:  pipeline, open-source, reproducibility
Home Credit Default Risk
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Stars: ✭ 68 (-82.87%)
Mutual labels:  kaggle, xgboost, feature-engineering
Kaggle Competition Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Stars: ✭ 169 (-57.43%)
Mutual labels:  kaggle, lightgbm
Lightgbm
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.
Stars: ✭ 13,293 (+3248.36%)
Mutual labels:  kaggle, lightgbm
Nyaggle
Code for Kaggle and Offline Competitions
Stars: ✭ 209 (-47.36%)
Mutual labels:  kaggle, feature-engineering
Data Science Bowl 2018
End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-85.89%)
Mutual labels:  competition, kaggle
targets-tutorial
Short course on the targets R package
Stars: ✭ 87 (-78.09%)
Mutual labels:  pipeline, reproducibility
decision-trees-for-ml
Building Decision Trees From Scratch In Python
Stars: ✭ 61 (-84.63%)
Mutual labels:  xgboost, lightgbm
Data-Science
Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-96.22%)
Mutual labels:  kaggle, feature-engineering
Open Solution Data Science Bowl 2018
Open solution to the Data Science Bowl 2018
Stars: ✭ 159 (-59.95%)
Mutual labels:  kaggle, open-source
Machine Learning Workflow With Python
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
Stars: ✭ 157 (-60.45%)
Mutual labels:  kaggle, feature-engineering
Outbrain Click Prediction Kaggle
Solution to the Outbrain Click Prediction competition
Stars: ✭ 140 (-64.74%)
Mutual labels:  kaggle, xgboost
kaggle-recruit-restaurant
🏆 Kaggle 8th place solution
Stars: ✭ 102 (-74.31%)
Mutual labels:  kaggle, lightgbm
stackgbm
🌳 Stacked Gradient Boosting Machines
Stars: ✭ 24 (-93.95%)
Mutual labels:  xgboost, lightgbm
open-solution-cdiscount-starter
Open solution to the Cdiscount’s Image Classification Challenge
Stars: ✭ 20 (-94.96%)
Mutual labels:  competition, kaggle
Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
Stars: ✭ 165 (-58.44%)
Mutual labels:  competition, kaggle
mlforecast
Scalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (-75.82%)
Mutual labels:  xgboost, lightgbm
neptune-client
📒 Experiment tracking tool and model registry
Stars: ✭ 348 (-12.34%)
Mutual labels:  xgboost, lightgbm
JLBoost.jl
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Stars: ✭ 65 (-83.63%)
Mutual labels:  xgboost, lightgbm
Kaggle Competitions
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.
Stars: ✭ 86 (-78.34%)
Mutual labels:  kaggle, feature-engineering
datascienv
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (-86.65%)
Mutual labels:  xgboost, lightgbm
Quora-Paraphrase-Question-Identification
Paraphrase question identification using Feature Fusion Network (FFN).
Stars: ✭ 19 (-95.21%)
Mutual labels:  kaggle, feature-engineering
targets-minimal
A minimal example data analysis project with the targets R package
Stars: ✭ 50 (-87.41%)
Mutual labels:  pipeline, reproducibility
Kaggle
Kaggle Kernels (Python, R, Jupyter Notebooks)
Stars: ✭ 26 (-93.45%)
Mutual labels:  xgboost, lightgbm
aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
Stars: ✭ 119 (-70.03%)
Mutual labels:  xgboost, lightgbm
classification
Catalyst.Classification
Stars: ✭ 35 (-91.18%)
Mutual labels:  pipeline, reproducibility
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-93.45%)
Mutual labels:  xgboost, lightgbm
fastknn
Fast k-Nearest Neighbors Classifier for Large Datasets
Stars: ✭ 64 (-83.88%)
Mutual labels:  kaggle, feature-engineering
autogbt-alt
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-80.86%)
Mutual labels:  kaggle, lightgbm
kaggle getting started
Kaggle getting started competition examples
Stars: ✭ 18 (-95.47%)
Mutual labels:  kaggle, xgboost
Tencent2017 Final Rank28 code
2017第一届腾讯社交广告高校算法大赛Rank28_code
Stars: ✭ 85 (-78.59%)
Mutual labels:  xgboost, lightgbm
xgboost-lightgbm-hyperparameter-tuning
Bayesian Optimization and Grid Search for xgboost/lightgbm
Stars: ✭ 40 (-89.92%)
Mutual labels:  xgboost, lightgbm
kaggle-quora-question-pairs
My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
Stars: ✭ 104 (-73.8%)
Mutual labels:  competition, kaggle
Bike-Sharing-Demand-Kaggle
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Stars: ✭ 33 (-91.69%)
Mutual labels:  kaggle, feature-engineering
kaggle-plasticc
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-87.41%)
Mutual labels:  kaggle, lightgbm
featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code.
Stars: ✭ 229 (-42.32%)
Mutual labels:  xgboost, feature-engineering
kaggle-code
A repository for some of the code I used in kaggle data science & machine learning tasks.
Stars: ✭ 100 (-74.81%)
Mutual labels:  kaggle, xgboost
sklearn-feature-engineering
使用sklearn做特征工程
Stars: ✭ 114 (-71.28%)
Mutual labels:  kaggle, feature-engineering
HyperGBM
A full pipeline AutoML tool for tabular data
Stars: ✭ 172 (-56.68%)
Mutual labels:  xgboost, lightgbm
Arch-Data-Science
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (-76.83%)
Mutual labels:  xgboost, lightgbm
HousePrice
住房月租金预测大数据赛TOP1
Stars: ✭ 17 (-95.72%)
Mutual labels:  xgboost, lightgbm
1-60 of 1601 similar projects