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🤖 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.

📌 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

🌸 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

🛠 Technologies Used

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

📂 Repository Structure

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

🎯 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

👩‍💻 Author

Athulya Suresh