Syed-Huzaifa-coder/Elevvo-Pathways-Internship-Tasks

Remote Machine Learning Internship Opportunity in Cairo, Egypt. # Elevvo-Pathways-Internship-Tasks Remote Machine Learning Internship Opportunity in Cairo, Egypt. This repository contains all project tasks completed during my Machine Learning Internship at Elevvo Pathways, Cairo, Egypt. Each task demonstrates practical applications of core ML techniques — from regression and clustering to classification and recommendation systems. 📋 Overview | Level | Task | Topic | Main Techniques | | :---: | ------ | -------------------------------- | ----------------------------------------------- | | 1️⃣ | Task 1 | Student Exam Score Prediction | Linear Regression | | 1️⃣ | Task 2 | Customer Segmentation | K-Means, DBSCAN | | 2️⃣ | Task 3 | Forest Cover Type Classification | Random Forest, XGBoost | | 2️⃣ | Task 4 | Loan Approval Prediction | Logistic Regression, Decision Tree, SMOTE | | 2️⃣ | Task 5 | Movie Recommendation System | User-Based & Item-Based Collaborative Filtering | 🧩 Level 1 Tasks 🧮 Task 1: Student Exam Score Prediction Goal: Predict student exam scores based on the number of study hours. Dataset: Custom synthetic dataset (student_scores.csv) Steps: Load and explore dataset Visualize relationship between hours_studied and exam_score Train a Linear Regression model Evaluate using RMSE and R² score Tools & Libraries: Python, Pandas, Matplotlib, Seaborn, Scikit-learn Bonus: Visualized regression line and residuals. 🛍️ Task 2: Customer Segmentation (Clustering) Goal: Group mall customers into clusters based on annual income and spending score. Dataset: Mall Customers Dataset (Kaggle) Steps: Data preprocessing and scaling Visualize customer distributions Determine optimal clusters using Elbow Method Apply K-Means Clustering Visualize cluster boundaries in 2D Bonus: Compared DBSCAN clustering results Analyzed average spending per …