kaggle-codeA repository for some of the code I used in kaggle data science & machine learning tasks.
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MlboxMLBox is a powerful Automated Machine Learning python library.
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Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
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docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
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Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
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Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
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kaggle-berlinMaterial of the Kaggle Berlin meetup group!
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Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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HumanOrRobota solution for competition of kaggle `Human or Robot`
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fast retrainingShow how to perform fast retraining with LightGBM in different business cases
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Pytorch zooA collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch
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CryptoCryptocurrency Historical Market Data R Package
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Facial Expression RecognitionClassify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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DtreevizA python library for decision tree visualization and model interpretation.
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Dog Breeds ClassificationSet of scripts and data for reproducing dog breed classification model training, analysis, and inference.
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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.
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Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
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Dc Hi guides[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
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Kaggle Freesound Audio Tagging8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
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Predicting real estate prices using scikit LearnPredicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
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Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
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KaggleCode for Kaggle Competitions
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Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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Cikm analyticup 2017CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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Kaggle Crowdflower1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
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Fraud DetectionCredit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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Ml Fraud DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
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Kaggle NdsbCode for National Data Science Bowl. 10th place.
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BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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