🤖 Machine Learning Projects

Welcome to my collection of Machine Learning projects!
This repository showcases hands-on applications of ML concepts using Python, Scikit-learn, and deep learning frameworks.

Author: Bijaya Kumar Rout
Created: July 2025
Status: 📌 Active & Public

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📂 Projects Overview

1. 🧠 Handwritten Digit Recognizer

A classic computer vision task using the MNIST dataset and neural networks to recognize handwritten digits (0–9).

Highlights:

• Dataset: MNIST
• Model: Convolutional Neural Network (CNN)
• Libraries: tensorflow, keras, matplotlib
• Accuracy: ~98% on test data
• Features:
  • Input image preprocessing
  • Visualization of predictions
  • Real-time testing with custom images (optional)

📁 Folder: handwritten-digit-recognizer

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2. 📧 Spam Email Classifier

A binary classification project that predicts whether an email is spam or not using NLP and ML techniques.

Highlights:

• Dataset: Labeled spam/ham email dataset (e.g., UCI)
• Model: Naive Bayes / Logistic Regression
• Techniques: Bag of Words (BoW), TF-IDF
• Libraries: sklearn, pandas, nltk
• Features:
  • Text cleaning and tokenization
  • Feature extraction with CountVectorizer
  • Accuracy & confusion matrix reporting

📁 Folder: spam-email-classifier

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🧠 Technologies Used

• Languages: Python
• Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, NLTK
• Tools: Jupyter Notebook, Git, GitHub

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📜 License

This project is open-source and available under the MIT License (if you add one).

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📬 Contact

• 📧 Email: bijayakumarrout2005@gmail.com
• 🔗 LinkedIn: https://www.linkedin.com/in/bijaya-kumar-rout-369453287/

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