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Lesson 2: Tech Stack Used
This project uses the following technologies and tools:
- Python: Core programming language used for data analysis and machine learning.
- Google Colab: Platform used to write, run, and share notebooks online.
- Pandas: Used for loading the CSV file, cleaning data, handling missing values, and performing analysis.
- NumPy: Used for numerical computations and array operations.
- Matplotlib: Used to create basic visualizations such as line plots and bar charts.
- Seaborn: Used to create advanced statistical visualizations like heatmaps and distribution plots.
- Scikit-learn: Used to build and evaluate machine learning models such as Linear Regression.
These tools work together to transform raw student data into meaningful insights and predictions.
Student Performance Analysis Project for Beginners Using Data Science
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