Welcome to my machine learning project portfolio!
I'm a Data Science graduate exploring real-world datasets and applying machine learning to solve meaningful problems. This repository serves as a learning playground where I practice, experiment, and grow my understanding of different ML techniques.

I'm passionate about data-driven problem solving and constantly working on projects to deepen my skills in machine learning, data preprocessing, model evaluation, and deployment. This repo showcases my hands-on work as I continue to learn and explore new ideas.

• Goal: Classify news articles as fake or real using text content.
• Tech: NLP with TF-IDF, Logistic Regression, NLTK
• Dataset: Kaggle – Fake News Classification

• Goal: Recognize daily living activities using wearable sensor data.
• Tech: Time-series preprocessing, classification models
• Dataset: UCI HAR Dataset

• Goal: Use sonar data to classify whether the detected object is a rock or a mine.
• Tech: Logistic Regression, scikit-learn, model serialization with pickle
• Dataset: UCI Sonar Dataset