Olympic-Medal-Count-Machine-Learning-Prediction-Model

Project Overview

Predicts number of olympic medals a country will win in the Olympics. Trains a Linear Regression machine learning model using imported historical data. Uses error ratio to evaluate model effectiveness and adjust model's prediction factors.

Machine learning project steps

Project Steps

1. Form a hypothesis.
2. Find and explore the data.
3. (If necessary) Reshape the data to predict your target.
4. Clean the data for ML.
5. Pick an error metric.
6. Split your data.
7. Train a model.

Local Setup

Installation

The following was installed and used to complete this project:

• Python 3.8+
• Python packages
  • pandas
  • numpy
  • scikit-learn
  • seaborn

Data

We'll be using data from the Olympics, in the format of a csv file. Originally on Kaggle.