f1raceprecitor.py

[AryanJagaty]

Predicts winner of F1 both driver and constructor. Trained on datasets from 2010-2020.
However it also predicts names of drivers who are retired but can be fixed by performing data cleaning on dataset.

[itsmedeepak]

Good work @AryanJagaty 🚀 — solid start with RandomForest and merged datasets.
Improvements needed:

1. Data cleaning → filter out retired drivers, handle NaNs.
2. Feature engineering → add track, weather, pit stops.
3. Evaluation → use train/test split, confusion matrix.
4. Docs → add README.md, requirements.txt, fix filename typo.
5. Future → export model + add simple CLI/GUI for predictions.

[AryanJagaty]

Good work @AryanJagaty 🚀 — solid start with RandomForest and merged datasets. Improvements needed:

1. Data cleaning → filter out retired drivers, handle NaNs.
2. Feature engineering → add track, weather, pit stops.
3. Evaluation → use train/test split, confusion matrix.
4. Docs → add README.md, requirements.txt, fix filename typo.
5. Future → export model + add simple CLI/GUI for predictions.

Hey, so @itsmedeepak

1. The program i wrote is independent of dataset.
2. Yeah thats a good point will add it in future this project just for my learning and to have a good grip on ML concepts.
3. Did that.
4. Hey so i have added README in my own repository didn't knew how to add here.