Make Predictive Analytics to Predict the Final Ranking - IT/Computer Science Assignment Help

Assignment Task:

TASK:

This is datasets for Formula One result from 1991 to 2018. Explanation for dataset: AUS BHR CHN AZE ESP MON CAN FRA AUT GBR GER HUN BEL ITA SIN RUS JPN USA MEX BRA ABU -> Name of the race (21 races) Points -> Final point for each driver PoinAUS PoinBHR PoinCHN PoinAZE PoinESP PoinMON PoinCAN PoinFRA PoinAUT PoinGBR PoinGER PoinHUN PoinBEL PoinITA PoinSIN PoinRUS PoinJPN PoinUSA PoinMEX PoinBRA PoinABU -> Poin obtained by each driver per race AcumAUS AcumBHR AcumCHN AcumAZE AcumESP AcumMON AcumCAN AcumFRA AcumAUT AcumGBR AcumGER AcumHUN AcumBEL AcumITA AcumSIN AcumRUS AcumJPN AcumUSA AcumMEX AcumBRA AcumABU -> Accumulative points (AcumCHN = PoinCHN + AcumBHR and so on)

Task: 1. Make predictive analytics to predict the final ranking of each driver and each year, using the first half of the season, e.g. 21 races -> use first 11 race for prediction.

2. Use two different methods and compare the result.

3. Count the accuracy and precicy of the result. Use Python for this task.

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