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This repository contains the tasks completed during my Machine Learning Internship at BiStartX. It includes six tasks focused on real-world ML challenges using algorithms like linear regression, decision trees, and clustering.

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🚀 Machine Learning Internship @ BiStartX

Name: Abdul Rafay
Degree: BS Software Engineering

Welcome to my Machine Learning Internship repository! 👨‍💻✨

📌 About This Repository

This repository contains all six tasks completed as part of my remote internship for the Machine Learning Intern role at BiStartX. Each task involves solving a real-world ML problem using different algorithms and techniques.

📅 Internship Timeline & Tasks

Task 1: Predicting House Prices using Linear Regression

Task 2: Classification of Iris Species using Logistic Regression

Task 3: Predicting Diabetes using Decision Trees

Task 4: Customer Segmentation using K-Means Clustering

Task 5: Predicting Employee Attrition using Random Forest

Task 6: Stock Price Prediction using Time Series Analysis

🚀 Technologies Used

  • Python 🐍
  • Pandas, NumPy, Matplotlib, Seaborn 📊
  • Scikit-Learn 🤖
  • TensorFlow/Keras (if applicable) 🔥

🤝 Let's Connect!

If you're passionate about AI & ML, feel free to connect with me! 💡💬

🔗 LinkedIn: Abdul Rafay


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This repository contains the tasks completed during my Machine Learning Internship at BiStartX. It includes six tasks focused on real-world ML challenges using algorithms like linear regression, decision trees, and clustering.

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