1. Developed a Blog Website and an E-Commerce Website.
2. Worked with a dynamic tech stack, including Django, Django Rest Framework, SQLite, Git, and GitHub.
3. Developed a dynamic blog website using Django, featuring user authentication and post management with robust backend functionality.
4. Developed an e-commerce website with product display, catalog selection, cart management, checkout, and secure user authentication.
1. Uses Flask for the web framework, with HTML, CSS, and JavaScript for the frontend interface, and Python for backend logic and data processing.
2. Utilizes linear regression algorithms and advanced analytical techniques to analyze housing market data.
3. Achieves an impressive accuracy of 84.5% in predicting house prices.
4. Provides a dynamic and interactive user experience with a user-friendly interface and efficient data processing.
Predicts house prices with 84.5% accuracy by following a series of steps: