HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-38.46%)
Mutual labels: kaggle-competition, xgboost, lightgbm
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-34.62%)
Mutual labels: kaggle-competition, xgboost, lightgbm
Bike-Sharing-Demand-KaggleTop 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Stars: ✭ 33 (+26.92%)
Mutual labels: kaggle-competition, kaggle-dataset
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+9426.92%)
Mutual labels: xgboost, lightgbm
M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Stars: ✭ 1,962 (+7446.15%)
Mutual labels: xgboost, lightgbm
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+2100%)
Mutual labels: kaggle-competition, xgboost
learnrExploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Stars: ✭ 64 (+146.15%)
Mutual labels: exploratory-data-analysis, predictive-modeling
decision-trees-for-mlBuilding Decision Trees From Scratch In Python
Stars: ✭ 61 (+134.62%)
Mutual labels: xgboost, lightgbm
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Stars: ✭ 46 (+76.92%)
Mutual labels: xgboost, lightgbm
fast retrainingShow how to perform fast retraining with LightGBM in different business cases
Stars: ✭ 56 (+115.38%)
Mutual labels: xgboost, lightgbm
Gbm PerfPerformance of various open source GBM implementations
Stars: ✭ 177 (+580.77%)
Mutual labels: xgboost, lightgbm
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+8776.92%)
Mutual labels: xgboost, lightgbm
stackgbm🌳 Stacked Gradient Boosting Machines
Stars: ✭ 24 (-7.69%)
Mutual labels: xgboost, lightgbm
Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
Stars: ✭ 1,908 (+7238.46%)
Mutual labels: xgboost, lightgbm
NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (+388.46%)
Mutual labels: xgboost, lightgbm
BenchmarksComparison tools
Stars: ✭ 139 (+434.62%)
Mutual labels: xgboost, lightgbm
Kaggle CompetitionsThere 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 (+230.77%)
Mutual labels: exploratory-data-analysis, kaggle-competition
JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Stars: ✭ 65 (+150%)
Mutual labels: xgboost, lightgbm