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Spam Email Classification and Filtering Using Naive Bayes Classifier with PySpark

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A machine learning research project applying Naive Bayes classification to detect and filter spam emails at scale.

Aim: To classify and evaluate spam emails using a Naive Bayes classifier implemented with PySpark for scalable proc…

Credit Card Fraud Detection Using PyCaret and Random Forest Classifier

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Analyzes and improves credit card fraud detection accuracy using automated ML (PyCaret) and Random Forest classification.

Aim: To analyze and enhance credit card fraud detection performance using PyCaret and a Random Forest Classifier.

Emotion Detection from Sound and Speech Signals Using Machine Learning

✅ Full Sample Available

A project plan and literature review on detecting human emotional states from vocal and speech signal features.

Aim: To detect emotion from sound or speech signals using audio feature extraction and classification techniques.

Mobile Price Prediction and Classification Using Machine Learning

✅ Full Sample Available

Predicts and classifies mobile phone price ranges using supervised machine learning techniques.

Aim: To predict and classify mobile phone prices using machine learning algorithms based on device specifications.

Weather Forecasting and Prediction Using Machine Learning

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Investigates approaches to weather forecasting using machine learning models trained on historical weather data.

Aim: To predict weather forecasting outcomes using machine learning approaches and evaluate model accuracy.