Training a Basic Random Forest Regression Model

Fri, 30 Jan 2026 00:00:00 +0000

You can read the code for this project on my Github.

Random Forest Regression - Hyperparameters and Feature Selection

It was earlier last month when I decided to get a head-start on learning how to build machine learning models and manipulate datasets using libraries like pandas and numpy. Kaggle, the excellent dataset resource, it turns out, also provides in-depth courses and challenges to stimulate the exact kinds of things I wanted to get involved in. Their short “Intro to Machine Learning” course was an excellent primer for building a simple model leveraging the SciKit sklearn Python libraries.

Data on Mike's Logs

Training a Basic Random Forest Regression Model

Random Forest Regression - Hyperparameters and Feature Selection