Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, and Stacked Ensemble Regressor)

My solutions for the 2023 Cloudflight Coding Contest (AI Category)

The current project introduces a script building a stacked learning ensemble, containing a single multilayered ANN (meta-learner) trained using the predictions of a number of ANNs (Level-0 learners).

🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).

Predict Skin Irritation based on pIC50 using command-line tool application