Pranav 's Projects
Amazon Web Scraping Project: Employed the Python Scrapy framework to create a web scraping application focused on Amazon.
Askan Foundation Web Application: Developed a web application for Askan Foundation, leveraging Python, MongoDB, HTML, CSS, and JavaScript. This project involved the creation of a dynamic and user-friendly platform to facilitate communication and interaction for the foundation's activities and initiatives.
"Boston House Price Prediction Using XGBoost: Utilizing the XGBoost algorithm to develop a predictive model for housing prices in the Boston area, leveraging features such as crime rate, air quality, and accessibility to amenities."
The Collaborative Filtering Book Recommendation System offers personalized book recommendations based on user behavior. Using collaborative filtering, it identifies similar users and books to provide tailored suggestions. Users can input a book title for recommendations or explore top-rated books, enhancing their reading experience.
using nodejs i have implemented curd operation
Data standardization, also known as data normalization, is the process of transforming data into a common format to make it consistent and comparable.
Notes for Database Management System
Few simple ways to avoid NAN values in Dataset
Predicting diabetes using Support Vector Machines (SVM) utilizes machine learning to classify individuals as diabetic or non-diabetic based on their health data.
Built a recommendation system for mobile phones, tablets, and laptops using Python and Scrapy. Scraped Amazon data, cleaned it by removing duplicates and handling missing values, and used cosine similarity for recommendations. Developed a user-friendly interface with Streamlit.
Introduction to Feature Extraction of Text Data(Tf-idf Vectorizer) in Python
šāØ Help beginners to contribute to open source projects