Contents

Detailed Schedule

Detailed Schedule

Day 1 - Introduction to Jupyter Notebooks, Working with Data

Today, we will:

  • Download/Install Anaconda (if needed)

  • Start up and navigate jupyter lab

  • Read, slice, and filter data with pandas

  • Explore data with pandas and matplotlib

Day 2 - Building a Regression Model

Today, we will:

  • Read in data

  • Explore and clean data

  • Discuss and plan a regression problem

  • Use scikit-learn to build a regression model

  • Evaluate the fit of the model

Resources

Day 3 - Building a Classification Model

Today, we will:

  • Read in data

  • Explore, clean, and transform data

  • Discuss and plan a classification problem

  • Use scikit-learn to build a classification model

  • Evaluate the fit of the model

Day 4 - Using A Multiplicity of Models

Today, we will:

  • Construct data sets

  • Tune parameters to achieve different fits

  • Gain confidence in models through cross validation/Monte Carlo validation

  • Discuss other models that fit into the scikit-learn framework

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2022 Oslo PER Summer Institute Machine Learning Short Course

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Getting Started with Pandas