AI & ML Internship Tasks

📌 Overview

This repository contains the tasks, projects, and practical implementations completed during my AI & Machine Learning Internship. The tasks focus on Python programming, data analysis, NumPy, Pandas, visualization, and machine learning fundamentals.

The repository showcases my hands-on learning experience, problem-solving skills, and practical knowledge in AI/ML concepts.

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🚀 Skills & Technologies Used

• Python
• NumPy
• Pandas
• Data Analysis
• Machine Learning Basics
• Git & GitHub

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📂 Repository Structure

AI-ML_Intern_Task/
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├── Dataset/           # Dataset files used in tasks
├── Task_1/            # Internship Task 1 files
├── Output_Files/      # Generated outputs and results
└── README.md          # Project documentation

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📖 Tasks Included

✅ Task 1 – Titanic Dataset Analysis

• Data loading and preprocessing
• Missing value handling
• Statistical analysis using NumPy
• Data visualization
• Insights from passenger survival data

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🎯 Learning Outcomes

• Improved Python programming skills
• Understanding of real-world datasets
• Experience with data preprocessing
• Practical exposure to AI/ML workflows
• GitHub project management and version control

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💡 Future Improvements

• Add advanced ML models
• Improve data visualizations
• Build mini AI projects
• Deploy ML models

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👩‍💻 Author

Rudhra Roopini
AI & ML Intern | Aspiring Data Scientist

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🔗 Connect With Me

• GitHub: https://github.com/Rudhra-01
• LinkedIn: www.linkedin.com/in/rudhra-roopini-p-b4b7032b3