Veda2.0 is a data handling system for The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems
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Updated
Oct 19, 2025 - Roff
Veda2.0 is a data handling system for The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems
It is a web app that can be used to create or leave a Habbit in 21 Days. It track the progress of the user and rewards with the prize. It give 21 Small challenges that is followed by the user to make or leave the particular habbit.
This is the project about 2020-21 pandemic i.e. Covid-19 and its Death Rate Analysis. In this project the covered things are the number of death in the Covid-19 in India, number of positive and negative in the total test. This project is just for the knowledge to imagine the situation we all have gone through.
This is a streamlit web app that helps analysts to do analysis just by clicking the buttons and choosing options that they need
Predict Titanic passenger survival using Logistic Regression. Includes data cleaning, EDA, feature encoding, model training, and evaluation. Built with Python, Pandas, Seaborn, and Scikit-learn for classification insights.
APIs based weather application project that display Google map and the weather location according to the user's requirements
This project is a comprehensive dashboard for analyzing Netflix movies and shows. Using a combination of Power BI, Python, and Excel, this dashboard provides insights into various aspects of Netflix's content library.
This project is unofficial and is not affiliated with Steam or Valve. This is a practice project to support my learning
This program is done in my college as lab
This project scrapes product details such as titles, prices, and links from locally stored Amazon product HTML files using Python's BeautifulSoup library. The scraped data is then exported into a CSV file for easy access and analysis.
Different Data Handeling Techniques
Explore this Spring Boot project illustrating an intuitive grade submission system. Crafted during a recent course, it showcases a seamless integration of Thymeleaf frontend & Spring backend, demonstrating a solid foundation in modern web application development. Ideal to grasp the Spring Boot fundamentals effectively.
Historical data analysis about avocado sales and prices in grocery stores in the United States
The task involves simulating a shift-wise production schedule for multiple components that are manufactured on different machines
Virtual Bookshelf: Streamline Your Online Bookstore Management
A visual exploration and EDA of data analyst jobs, salaries and locations
This repository contains the analysis and findings from a customer satisfaction survey. The analysis is aimed at understanding customer feedback across different aspects such as Delivery, Product, Service, and Support. The results are classified into positive, neutral, and negative sentiments to provide actionable insights.
Task 3: Iris flower classification using machine learning
Predicts the rate of death in hospitals .
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