🧠 Machine Learning Projects Portfolio

Welcome to my collection of machine learning projects!
This repository contains beginner-friendly to intermediate-level ML models built using Python, scikit-learn, and real-world datasets.

Each project is designed to strengthen my practical knowledge of data preprocessing, model training, evaluation, and visualization.

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📚 Projects List

1. 📈 Student Score Prediction (Regression)

• Goal: Predict student exam scores based on study hours
• Algorithm: Linear Regression
• Dataset: Manually created
• Notebook: Student_Score_Prediction.ipynb
• Highlights: Data visualization, model fitting, prediction line, evaluation

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2. 📨 Spam Email Classifier (Text Classification)

• Goal: Classify SMS messages as spam or not spam
• Algorithm: Naive Bayes (MultinomialNB)
• Dataset: SMS Spam Collection (Kaggle)
• Notebook: Spam_Email_Classifier.ipynb
• Highlights: Text preprocessing, CountVectorizer, confusion matrix, accuracy

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🚀 Upcoming Projects (In Progress / Planned)

• ✅ Diabetes Prediction (Logistic Regression)
• ✅ Customer Churn Prediction (Classification)
• ✅ House Price Estimation (Advanced Regression)
• ✅ Titanic Survival Prediction (Binary Classification)
• ✅ Heart Disease Detection (Medical dataset)

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🛠️ Tools & Libraries Used

• Python 🐍
• Pandas, NumPy
• scikit-learn
• Matplotlib, Seaborn
• Jupyter / Google Colab

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👩‍💻 About Me

I'm Thadsha, an aspiring data scientist preparing for a career in Dubai. This portfolio tracks my journey through practical projects as I build my skills in machine learning, analytics, and model deployment.

Connect with me on LinkedIn

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📫 Contact

📧 Email: your.email@example.com
🌍 Location: Sri Lanka / Open to relocate to Dubai