Formula One Machine Learning Workshop

Formula 1 Machine Learning Workshop repository! This workshop is designed to introduce participants to the exciting application of machine learning in the world of Formula One racing. Through hands-on projects, we'll explore how to use historical race data, driver performance, and car telemetry to make informed predictions and optimizations.

Workshop Overview

This workshop is part of a multi-session event where participants will collaborate to build and refine machine learning models using Formula One data. Our aim is to apply these models to solve real-world problems like optimizing race strategies, predicting race outcomes, and improving team performance.

Sessions

• Session 1: Introduction to Formula One Data and Machine Learning
• Session 2: Data Collection and Preprocessing
• Session 3: Building Predictive Models
• Session 4: Model Evaluation and Refinement
• Session 5: Final Presentations and Discussion

Learning Objectives

• Understand the role of data in Formula One racing.
• Learn to process and cleanse data specific to Formula One.
• Develop predictive models to analyze driver performance and race outcomes.
• Evaluate and refine machine learning models.
• Present model insights and implications.

Prerequisites

Participants are expected to have a basic understanding of Python and machine learning concepts. Familiarity with tools like Jupyter Notebooks, pandas, and scikit-learn will be beneficial.

Tools and Resources

• Python: Main programming language used.
• Jupyter Notebook: For interactive coding sessions.
• pandas: For data manipulation and analysis.
• scikit-learn: For building machine learning models.
• Matplotlib/Seaborn: For data visualization.

Installation

To get started with the project, clone this repository and install the required Python packages:

git clone https://github.com/yourgithubusername/formula-one-ml-workshop.git
cd formula-one-ml-workshop
pip install -r requirements.txt

Running the F1 Fantasy Fetcher

To manually fetch F1 Fantasy data:

cd notebooks/advanced
python f1_fantasy_fetcher.py --output-dir ../../data/f1_fantasy

This will:

• Fetch current driver standings and statistics
• Get race-by-race performance data
• Save results to CSV files in /data/f1_fantasy/
• Create metadata file for tracking updates