College Project!

• UpdatedOct 28, 2023
• Jupyter Notebook

Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.

• UpdatedNov 22, 2022
• Jupyter Notebook

Email Spam Tool is a powerful application designed for testing and analyzing email systems by generating and sending bulk emails. This tool is meant for security professionals and developers to evaluate email filtering systems and anti-spam measures.

• UpdatedSep 8, 2024
• C++

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

• UpdatedMar 22, 2023
• Jupyter Notebook

A repository containing a list of email addresses identified as sources of spam or other types of fraud.

• UpdatedMar 22, 2025

In this repository, I have done simple python projects for understanding the python environment.

• UpdatedMay 27, 2023
• Jupyter Notebook

Created a Enhanced Email Spam Detection Model using Optimized Machine Learning Models

• UpdatedNov 12, 2024
• Jupyter Notebook

Detect Email/SMS Spam with Machine Learning!

• UpdatedNov 10, 2024
• Python

Projects on Data Science Internship

• UpdatedSep 5, 2023
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This is my portfolio website

• UpdatedSep 9, 2023

Data Analysis Projects

• UpdatedOct 1, 2023
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We receive emails that are not advantageous to us and can be misleading and dangerous; We have no idea what damage is lurking behind them. This project assists us in avoiding potentially hazardous emails by screening them.

• UpdatedJan 3, 2023
• Jupyter Notebook

This project was developed during an internship at Afame Technologies, where I worked as a Machine Learning Intern. The goal of this project is to create a model that can accurately detect spam emails using a Naive Bayes classifier. The model achieves an impressive 98% accuracy on the spam detection dataset.

• UpdatedJun 8, 2024
• Jupyter Notebook

This project utilizes machine learning to address the broad problem of spam through algorithms like Multinomial Naive Bayes and Logistic Regression; it can classify incoming emails as either spam or ham. This project aims to enhance email security and user experience while minimizing the risks of phishing attacks.

• UpdatedOct 30, 2024
• Jupyter Notebook

Data Science Projects in Python: From Beginner to Advanced Levels

• UpdatedJul 24, 2023
• Jupyter Notebook

AI project for classifying emails as spam or not spam

• UpdatedJun 6, 2024
• Python

This repository contains a comprehensive project on detecting email spam using machine learning techniques. The goal of the project is to classify emails as spam or not spam by training models on a dataset of email messages.

• UpdatedMay 24, 2024
• Jupyter Notebook

The challenge is to accurately separate spam emails from regular ones using techniques from machine learning models.

• UpdatedMar 20, 2025