🏎️ F1 Racing Dataset (1950-2024) 🏁

Welcome to the F1 Racing Dataset project! This repository contains comprehensive data on Formula 1 races from 1950 to 2024. The project leverages various Python packages for data analysis, visualization, and machine learning.

📊 Dataset Overview

The dataset includes:

• Race Results: Positions, times, and points for each race.
• Qualifying Results: Times and positions from qualifying sessions.
• Driver Information: Names, nationalities, and career statistics.
• Team Information: Constructors, engine suppliers, and team statistics.
• Lap Times: Detailed lap-by-lap data for each race.
• Pit Stops: Information on pit stop times and strategies.

🛠️ Packages Used

Data Analysis

• pandas: For data manipulation and analysis.
• numpy: For numerical operations.

Data Visualization

• matplotlib: For creating static, animated, and interactive visualizations.
• seaborn: For statistical data visualization.
• plotly: For interactive visualizations.

Web Application

• Streamlit: For building interactive web applications.

Machine Learning

• scikit-learn: For implementing machine learning algorithms.
• statsmodels: For statistical modeling.

📈 Machine Learning Algorithms

Regression Models

• Linear Regression: Predicting race outcomes based on historical data.
• Decision Tree Regressor: Modeling complex relationships in the data.
• Random Forest Regressor: An ensemble method for improved prediction accuracy.