The Future of F1 Predictions: How Data Science Can Captivate Your Audience

Dive into our project presentation by Pavan Kumar Data Science Takes the Wheel: Predicting F1 Race Outcomes for Engaging Media Content for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

1. F1 Race Prediction for Media Company -Pavan Kumar K

2. Agenda Introduction Objective Insights about the data Analyze Race Performance Create a Visualization and Key findings Build a Machine Learning Model Peformance of model Dashboard & Web app demo Finally where is India in F1 race stats

3. Introduction F1 Race was started at 1950’s Juan Manuel Fangio emerged, dominating the decade with his five championship wins. F1 race - This positive brand image can translate to increased consumer trust and a willingness to pay a premium for the brand's road cars. F1 has a massive global audience, offering a fantastic platform for brand promotion. Example : Mercedes-Benz has enjoyed a significant image boost due to their dominant performance in recent F1 seasons. Ferrari's association with F1 is deeply ingrained in their brand identity, emphasizing their racing heritage and performance focus.

4. Objective To find Keys aspects to win the race To find various factors affecting the position of the race Does only the skills of racer affect the race Features that play a prominent role predicting the top finishers (e.g., top 5 or top 10) in Formula 1 races with a high level of accuracy. A user-friendly interface and dashboard. Comprehensive report: This report should detail the model's architecture, performance metrics, and potential areas for future improvement Real time usecases where f1 drivers new subscribers and sponsors.

5. Insights about the data Datasets - 14 datastes 7 big datasets 7 small datasets Features - 60+ features total after joining the datasets 19 - features considered based on corelation and f1 knowledge Features considered are : 1 Pos 47428 non-null object (TARGET VARIABLE) 2 Race Laps 47428 non-null float64 3 Race points 47428 non-null float64 4 Avg Speed 47428 non-null float64 5 Practice Laps 47428 non-null float64 6 Practice Pos 47428 non-null int64 7 no of fast Lap 47428 non-null float64 8 startgrid No 47428 non-null int64 9 startgrid Pos 47428 non-null int64 10 qualifying Laps 47428 non-null float64 11 Stops 47428 non-null int64 12 Practice_Time_seconds 47428 non-null float64 13 startgrid_Time_seconds 47428 non-null float64 14 Time_taken_in_fast_laps_seconds 47428 non-null float64 15 Lap Count 47428 non-null bool 16 DNF 47428 non-null int64 17 Pitstop Hour 47428 non-null int32 18 Pitstop Minute 47428 non-null int32 19 Pitstop Second 47428 non-null int32 Join technique used : Inner join Shape of the data : 47428 rows 19 columns Cars : 93 drivers :127 drivers Grand pix : 41

6. Model: Accuracy:99% f1 Score : 0.99 Precesion :0.99 recall: 0.99 test data : print(rf_model.predict(np.array([[53, 0, 190.366, 27, 9, 11, 14, 8, 12, 1, 85.8, 85.1, 97.2, 0, 1, 14, 39, 31 ]]))) Expected and Actual:

7. Some visual insights :

8. Dashboard demo (PowerBI)

9. Interface Demo (WEB APP) Framework : Django

10. Where is India in f1 world India did hold the Indian Grand Prix for three consecutive years, from 2011 to 2013, at the Buddh International Circuit located near Greater Noida, Uttar Pradesh. However, due to tax disputes between the Uttar Pradesh government and the race organizers, the event hasn't been held since 2013. Here's a quick recap: Indian Grand Prix: Held from 2011 to 2013 Circuit: Buddh International Circuit Current Status: Not on the F1 calendarHere's a quick recap: what should India do to be a part of F1 world championship Government and Infrastructure: Tax Incentives and Regulations Upgrading Infrastructure Commercial Viability: Strong Sponsorships Ticket Sales and Revenue Public Interest and Fan Engagement: Grassroots Development Promotional Strategies Additional Considerations: Alignment with F1's Vision Competition from Other Countries Possible Approaches: Government-led Initiative Private Consortium

11. Questions ?

12. Thank You!