Pinned Repositories
BABAYAGA910
Config files for my GitHub profile.
Bangalore-House-Prediction
This project aims to predict house prices in Bangalore based on features such as BHK (Bedrooms, Hall, Kitchen), bathrooms, area, and location.
Book-Recommender
Book-recommender-end-to-end-
bostonhousepricing
calculator-app
DS-LearningJourney
This repository contains a collection of my learnings, notes, projects, and resources in the field of data science. It serves as a documentation of my journey as I explore various concepts, tools, and techniques within this exciting domain.
Movie-recommender
This is the basic content based movie recommender
nyc-taxi
Olympic-Data-Analysis-web-app
Welcome to the Olympics Data Analysis web application! This web application is designed to provide users with insights and information about the Olympic games. It includes data on the athletes, countries, and events that have participated in the Olympic games throughout history.
vinayak910's Repositories
vinayak910/bostonhousepricing
vinayak910/Movie-recommender
This is the basic content based movie recommender
vinayak910/Olympic-Data-Analysis-web-app
Welcome to the Olympics Data Analysis web application! This web application is designed to provide users with insights and information about the Olympic games. It includes data on the athletes, countries, and events that have participated in the Olympic games throughout history.
vinayak910/BABAYAGA910
Config files for my GitHub profile.
vinayak910/Bangalore-House-Prediction
This project aims to predict house prices in Bangalore based on features such as BHK (Bedrooms, Hall, Kitchen), bathrooms, area, and location.
vinayak910/Book-Recommender
vinayak910/Book-recommender-end-to-end-
vinayak910/calculator-app
vinayak910/DS-LearningJourney
This repository contains a collection of my learnings, notes, projects, and resources in the field of data science. It serves as a documentation of my journey as I explore various concepts, tools, and techniques within this exciting domain.
vinayak910/nyc-taxi
vinayak910/Encoding-Categorical-Data-in-Machine-Learning
Categorical data are variables that can be divided into categories or groups. When working with machine learning algorithms, it is necessary to encode categorical data into numerical data so that the algorithms can process it. There are three common encoding methods: ordinal encoding, label encoding, and one-hot encoding.
vinayak910/fetching-data-from-api
vinayak910/Flipkart-Reviews-Scraper
This Python-based web scraper extracts customer reviews from Flipkart product pages, providing valuable insights into user opinions and feedback. The scraper navigates through the Flipkart website, collects review details, and outputs the data in a structured format. Use this tool to analyze product sentiment, ratings trends, and more.
vinayak910/GEN-AI-Learning
Welcome to my GEN AI Basics Repository! Here, I'm documenting my journey through the fundamentals of Generative Artificial Intelligence.
vinayak910/guragon-realty-intelligence--gri-
vinayak910/GurgaonPriceGuru
vinayak910/Machine-Learning-
This repository contains essential resource for anyone interested in this field of Data science. Whether you are just starting out or looking to deepen your knowledge, this repository provides basics things you need to get started with machine learning and will keep on updating time to time.
vinayak910/ML-Project
vinayak910/MLOPS_Learnings
vinayak910/mlproject
vinayak910/Mobile-Phones-data-Web-Scraping
Automate the extraction of smartphone data from a dynamic website using Selenium, save the HTML content for later reference, and utilize Beautiful Soup for structured data extraction.
vinayak910/OIBSIP
Tasks for Oasis infobyte data science internship
vinayak910/Pandas-Profiling
Pandas Profiling is a Python library for generating interactive and visual reports from pandas dataframes. It provides a fast and concise way to generate a complete profile of your data with a single line of code.
vinayak910/try
vinayak910/TSF-Task-1-Score-Prediction
Problem Statement: Predict the percentage of an student based on the no. of study hours.
vinayak910/TSF-Task2-Prediction-using-Decision-Tree-Algorithm
Problem Statement: Create the Decision Tree Classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.