Formula 1 is one of the most competitive sports in the world. Engineers and technicians from every team use weather radar screens, provided by Ubimet to the teams, which allows them to track the current weather and make predictions during the race.
Data Link - ../input/formulaaihackathon2022/weather.csv
Our solution uses the power of 4 types of data analytics i.e Descriptive and diagnostics analytics for finding the insight from the data and predictive and prescriptive analysis for future decision making. Most important we used Explainable to help human decision making to be more accurate.
Packages used
Python
Seaborn
matplolib
shap
Prediction accuracy 99% on train data and 94.82 on the test data for weather category. 00.74 Mean Absolute Error and 99.8% R2 score for rain percenatge forecast.
The Solution is presented by Team Smart
Raheem Nasirudeen (Team Lead)
Kazeem Hakeem (Member)