Dataset: https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page
'homework-02.ipynb' is a notebook that walks through the installation and env setup for MLFlow and then answers a series of questions. The notebook utilizes Python scripts for data preprocessing, training a random forest regressor and logging the metrics and best params using MLFlow, hyperparameter optimization (using hyperopt), and model registering.
conda create -n exp-tracking-env python=3.9
conda activate exp-tracking-env
pip install -r requirements.txt