Worldwide Temperature Prediction
Building models to predict the temperature at different locations around the globe
With 3 other classmates we worked on the prediction of worldwide temperature starting with data from dry and mild temperate climate locations.
We worked on data analysis and cleaning and then used machine learning algorithms (Lasso Regression and XGBoost Regressor) to train models to predict temperature in locations everywhere on the globe while knowing we had a problem with our training data which was incomplete near the equator.
