6-Month Internship - Python Programming

📌 Overview

This repository contains the work completed during my 6-month internship, where I gained hands-on experience in Python, Data Science, Machine Learning, and AI concepts.

The final project of the internship is: Credit Card Default Prediction

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🚀 Skills & Concepts Learned

🐍 Python Programming

• Python fundamentals
• Data structures
• Functions & OOP concepts
• Working with Google Colab Notebook

📚 Python Libraries

• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn

📊 Data Visualization

• Data cleaning & preprocessing
• Exploratory Data Analysis (EDA)
• Visualizing trends and patterns
• Correlation analysis

🤖 Machine Learning

• Supervised learning
• Classification algorithms
• Model training & testing
• Model evaluation (Accuracy, Precision, Recall, F1-score)

🧠 Artificial Intelligence

• Basics of AI concepts
• Real-world AI applications

✨ Generative AI

• Introduction to Generative AI
• Understanding LLMs

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💳 Final Project: Credit Card Default Prediction

🎯 Problem Statement

To predict whether a customer will default on their credit card payment based on historical financial data.

🛠 Technologies Used

• Python
• Pandas & NumPy
• Matplotlib & Seaborn
• Scikit-learn

📈 ML Models Used

• Logistic Regression

📊 Project Workflow

step 1: Import libraries step 2: Dataset step 3: Define target(y) & fetures(x) step 4: Train Test Split step 5: Select Model step 6: Train or Fit Model step 7: Predict Model step 8: Evaluation and Model Accuracy

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📌 Key Outcomes

• Improved understanding of ML workflow
• Built and evaluated classification models
• Learned real-world data preprocessing techniques

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📜 Internship Duration

6 Months

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👤 Author

Dhanaraj Bhusale B.Tech Student | Aspiring Machine Learning Engineer
LinkedIn: github.com/alpha512-creator Email: dhanarajbhusale55@gmail.com