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intro.kgl's Introduction

Kaggle Intro

Installation

  1. (windows) install git
  2. Install miniconda
  3. Install packages
    • conda install numpy scikit-learn pandas matplotlib seaborn
    • conda install jupyter
    • pip install kaggle-cli
  4. Install XGBoost
    • Windows
    • Linux/OSX
      1. Install lib
        RUN git clone --recursive https://github.com/dmlc/xgboost && \
        cd xgboost && cp make/minimum.mk ./config.mk; && \
        make -j4 
        
      2. Install python wrapper package
        cd xgboost/python-package; python3 setup.py install && cd ../..
        
  5. Register on Kaggle (if not)

Follow the Jupyter notebook

  1. Open this repo git clone https://github.com/imsedim/intro.kgl.git

  2. Go into the directory cd intro.kgl

  3. Download competition files into folder input

    mkdir input
    cd input
    kg download -u <username> -p <password> -c porto-seguro-safe-driver-prediction
    cd ..
    
  4. Run jupyter notebook

intro.kgl's People

Contributors

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