- Week 1
- XGBoost algorithm for regression
- Feature Engineering - add new features using the existing data to boost the training data
- Encoding Categorical Data
- Handling time series data
- Plotly maps
- Week 4
- Time Series Analysis
- ARIMA model for prediction
- Linear regression with lasso and ridge
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Build docker image
docker build -t kagglecovid-19 .
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Run docker container
docker run -it -v $(pwd):/workdir -p 8888:8888 -t kagglecovid-19 bash
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From inside the container workdir run to start jupyter notebooks
jupyter-notebook --ip='0.0.0.0' --port=8888 --no-browser --allow-root