CMPINF 2120: Applied Predictive Modeling

Notebooks and datasets for all lecture can be found here. Here is the environment.yml file that lists all of the packages I installed to create these notebooks. I suggest that you install the Anaconda distribution of python and create a virtual environment containing all of the necessary packages. Here are instructions for how to do that.

Additionally, you will need to install the following packages manually:

• dtreeviz
• yfinance

Here's how you do this:

1. Go to your anaconda navigator and add the channels conda-forge and ranaroussi. Here are instructions for how to add channels
2. Add the above packages to your environment manaully. Here are instructions for manually installing packages.

• Administrivia (01/10/2022)
• Data Analytics Overview (01/10/2022)
• Probability and Statistics (01/10/2022)
• Regression and Classification (01/24/2022, 01/31/2022)
• Time Series analysis (02/07/2022)
• Complexity and Overfitting (02/14/2022)
• Survival Analysis (02/21/2022)
• Bayesian Inference (02/28/2022)
• Simulation and Sampling (03/14/2022)
• Unsupervised Learning (03/21/2022)
• Matrix Factorization (03/28/2022)
• Neural Networks (04/04/2022)