Study Hours vs Students Percentages | Data Analysis using ML #sparks_foundation #codeandcombat

Explore how study hours affect student performance in this project. Using Python libraries like NumPy, Pandas, and scikit-learn, we analyze data and predict outcomes with a Linear Regression model. We preprocess data, perform exploratory analysis with graphs, and validate our model by examining the regression line's slope. Perfect for data enthusiasts and aspiring data scientists interested in study habits and academic success. My GitHub profile : https://github.com/data-enthusiast-shubhs This project's GitHub Repository -: https://github.com/data-enthusiast-shubhs/Sparks_foundation.git My LinkedIn - https://www.linkedin.com/in/shubham-oli-12911so/