/olympic-games

I use data from historical Olympic games and try to predict how many medals a country will win based on historical and current data

Primary LanguageJupyter Notebook

Project

I cover the full process of building a beginner machine learning project. This includes creating a hypothesis, setting up the model, and measuring error.

I use data from historical Olympic games and try to predict how many medals a country will win based on historical and current data.

Machine learning project steps

Most machine learning projects follow a similar outline, which I also follow here.

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.

Data

I am using data from the Olympics, which was originally on Kaggle.