Rutiktorambe
Front End Developer || C++ Programmer || Data Science Enthusiast || B.Tech-2024
Latur,Maharashtra
Pinned Repositories
100-days-of-machine-learning
100-days-of-machine-learning
assignments
100xdevs-cohort-2
Bangalore-House-Price-Prediction
This project focuses on predicting house prices in Bengaluru using machine learning techniques. By analyzing various features such as area type, location, and total square footage, the model aims to provide accurate price predictions. The project uses several regression algorithms to evaluate and compare their performance.
CineSync
Coffee-Shop-Sales-Excel-Analysis
This project involves analyzing sales data from a coffee shop to gain insights into transaction quantities, sales distribution, and performance across different categories, regions, and time periods. The analysis is implemented in Excel and includes interactive filters to view statistics for specific months and weekdays.
F1-Racing-Analytics-Tableau
The F1 Racing Analytics Dashboard project is a comprehensive Tableau-based visualization tool designed to analyze and explore data from all Formula 1 seasons. This project aims to provide detailed insights into the world of Formula 1 racing through interactive and visually appealing dashboards.
Movie-Recommender-System
This is a simple movie recommender system built using Python, Flask, and scikit-learn. The system recommends similar movies based on user input using cosine similarity on movie tags derived from genre and overview.
Rainfall-Prediction
This project aims to predict rainfall using machine learning techniques. It utilizes historical weather data and applies machine learning algorithms to predict rainfall for future time periods. The prediction model is built using Python programming language and popular machine learning libraries.
The-Bike-Haven-Tableau
This project aims to predict salary of newly hired employees using machine learning techniques. It utilizes employees data and applies machine learning algorithms to predict salary for newly hired employees.
Weather-App
A simple weather app made using Html,Css,JavaScript and Openweathermap Api that displays the temperature, humidity, and wind speed for a given location or city name. It utilizes a weather API to fetch the weather data and presents it in a user-friendly interface.
Rutiktorambe's Repositories
Rutiktorambe/Rainfall-Prediction
This project aims to predict rainfall using machine learning techniques. It utilizes historical weather data and applies machine learning algorithms to predict rainfall for future time periods. The prediction model is built using Python programming language and popular machine learning libraries.
Rutiktorambe/Weather-App
A simple weather app made using Html,Css,JavaScript and Openweathermap Api that displays the temperature, humidity, and wind speed for a given location or city name. It utilizes a weather API to fetch the weather data and presents it in a user-friendly interface.
Rutiktorambe/100-days-of-machine-learning
100-days-of-machine-learning
Rutiktorambe/assignments
100xdevs-cohort-2
Rutiktorambe/Bangalore-House-Price-Prediction
This project focuses on predicting house prices in Bengaluru using machine learning techniques. By analyzing various features such as area type, location, and total square footage, the model aims to provide accurate price predictions. The project uses several regression algorithms to evaluate and compare their performance.
Rutiktorambe/CineSync
Rutiktorambe/Coffee-Shop-Sales-Excel-Analysis
This project involves analyzing sales data from a coffee shop to gain insights into transaction quantities, sales distribution, and performance across different categories, regions, and time periods. The analysis is implemented in Excel and includes interactive filters to view statistics for specific months and weekdays.
Rutiktorambe/F1-Racing-Analytics-Tableau
The F1 Racing Analytics Dashboard project is a comprehensive Tableau-based visualization tool designed to analyze and explore data from all Formula 1 seasons. This project aims to provide detailed insights into the world of Formula 1 racing through interactive and visually appealing dashboards.
Rutiktorambe/Movie-Recommender-System
This is a simple movie recommender system built using Python, Flask, and scikit-learn. The system recommends similar movies based on user input using cosine similarity on movie tags derived from genre and overview.
Rutiktorambe/The-Bike-Haven-Tableau
This project aims to predict salary of newly hired employees using machine learning techniques. It utilizes employees data and applies machine learning algorithms to predict salary for newly hired employees.
Rutiktorambe/Fake-News-Detection-Model
Rutiktorambe/Fitbit-Data-Excel-Analysis-For-WeFit-And-Subsidiaries
This project focuses on analyzing Fitbit fitness tracker data to deliver targeted marketing and business solutions for WeFit and its subsidiaries: LeanFit, FitWear, and Sleepy-Nights. The analysis aims to identify potential customers and optimize marketing strategies based on user behavior metrics.
Rutiktorambe/Hardware-Company-Sales-Insights-Power-BI-Dashboard
This project aims to develop an automated dashboard for Hydra Hardware, leveraging SQL for data preprocessing and Power BI for visualization. It provides actionable insights into revenue, sales quantity by markets, top customers, top products, and trends.
Rutiktorambe/JavaScript
Learning Js Repo
Rutiktorambe/MyPortfolio-Website
Rutiktorambe/Oops-Javascript
Learning Oops in Javascript Repo
Rutiktorambe/Salary-Prediction
This project aims to predict salary of newly hired employees using machine learning techniques. It utilizes employees data and applies machine learning algorithms to predict salary for newly hired employees.
Rutiktorambe/Stone-Paper-Scissors-Game
A simple Rock Paper Scissors game built using HTML, CSS, and JavaScript. Play against the computer and see if you can win!