diabetes use caseSample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
HyperGBMA full pipeline AutoML tool for tabular data
XGBoostLSSAn extension of XGBoost to probabilistic forecasting
HumanOrRobota solution for competition of kaggle `Human or Robot`
Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
target-and-marketA data-driven tool to identify the best candidates for a marketing campaign and optimize it.
kaggle-codeA repository for some of the code I used in kaggle data science & machine learning tasks.
tensorflow kaggle house price[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow
featurewizUse advanced feature engineering strategies and select best features from your data set with a single line of code.
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
secure-xgboostSecure collaborative training and inference for XGBoost.
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
kserveServerless Inferencing on Kubernetes
mloperatorMachine Learning Operator & Controller for Kubernetes
datascienvdatascienv 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
mlforecastScalable machine 🤖 learning for time series forecasting.
RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
Github-Stars-PredictorIt's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
dmatrix2npConvert XGBoost's DMatrix format to np.array
ml-simulationsAnimated Visualizations of Popular Machine Learning Algorithms
stackgbm🌳 Stacked Gradient Boosting Machines
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
sagemaker-xgboost-containerThis is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
fast retrainingShow how to perform fast retraining with LightGBM in different business cases
docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.