Student Performance Prediction Using Machine Learning | Full Kaggle Project Walkthrough 📊🎓
📘 Welcome to a complete walkthrough of the *Student Performance Prediction Project* on Kaggle!
In this video, you'll learn how to build a machine learning model that predicts students' academic performance based on various personal, social, and academic features.
✅ What You'll Learn:
How to explore and understand the dataset
Data preprocessing and feature engineering
Exploratory Data Analysis (EDA) using Python
Building classification models to predict final grades
Evaluating accuracy, precision, recall, and confusion matrix
Improving the model with hyperparameter tuning
🎯 Whether you're a beginner in data science or preparing for interviews, this project will sharpen your skills in:
EDA
Classification
Model evaluation
Real-world ML problem-solving
📁 Tools & Libraries Used:
Python
Pandas
Seaborn & Matplotlib
Scikit-learn
Jupyter Notebook
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