schedule.md

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

Resources

• Getting started with pandas
• pandas documentation
• Getting started with matplotlib

Materials

• Day 1 notebook - Getting Started
• Day 1 notebook - Exploring Data

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

• Linear Regression reminder video
• Getting started with scikit-learn regression (You probably don't need to install anything with pip.)
• More about scikit-learn

Materials

• Day 2 notebook - Polynomial Regression
• Day 2 notebook - Multiple Regression

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

Materials

• Day 3 notebook - Getting Started
• Day 3 notebook - KNN

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

Materials

• Day 4 notebook - What is Tuning and Validation?
• Day 4 notebook - A Multiplicity of Models