🤖 Coding Samurai Machine Learning Internship

Welcome to my Coding Samurai Machine Learning Internship repository!

This repository showcases the projects and tasks I completed during my internship, demonstrating practical applications of machine learning, data preprocessing, model development, and performance evaluation using Python.

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📌 Projects

🏠 House Price Prediction

A regression-based machine learning project that predicts house prices using various property features.

Highlights

• Data preprocessing
• Exploratory Data Analysis (EDA)
• Feature engineering
• Regression model training
• Model evaluation

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🌸 Iris Flower Classification

A classification project that predicts the species of Iris flowers based on sepal and petal measurements.

Highlights

• Data visualization
• Feature selection
• Classification model development
• Accuracy evaluation

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🛠 Technologies Used

• Python
• Jupyter Notebook
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn

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📂 Repository Structure

├── House_prediction_coding_samurai.ipynb
├── Iris_Coding_Samurai.ipynb
├── README.md

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🎯 Internship

These projects were completed as part of the Coding Samurai Machine Learning Internship, providing hands-on experience in:

• Data Preprocessing
• Exploratory Data Analysis
• Machine Learning Algorithms
• Model Evaluation
• Data Visualization

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👩‍💻 Author

Athulya Suresh

• GitHub: https://github.com/Athulya9188
• LinkedIn: https://www.linkedin.com/in/athulya-m-suresh/

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