This project is a great starting point for learning how to collect data from different sources using web scraping.

This project focuses on detecting spam messages using machine learning techniques to classify text as either spam or not spam

A movie recommendation system using TMDb data, applying machine learning techniques to suggest similar movies based on user selection.

The House Pricing Project involved data cleaning, outlier removal, and preprocessing to enhance model accuracy. Using a Kaggle dataset.

A heart disease prediction project integrating machine learning, Docker, GitHub Actions, and Streamlit. Achieved 86% accuracy while implementing EDA, and testing, showcasing my data science and development skills.

This analysis dives deep into key real estate trends, including average house prices, bedroom and bathroom distributions, waterfront properties

Discover how most developers work, their favorite tools, and which countries have the highest number of developers.

Discover insights from a consumer complaints data in the financial sector. This analysis uncovers trends in mortgage issues, complaint submission

Explore insights from our housing dataset analysis, revealing key trends like the impact of view quality and grade on house prices. Homes with better views have significantly higher average prices and so on.

Interactive sales dashboard showcasing key insights into country-wise sales, top-performing cities, product trends, and customer purchases.