User Management API development
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Updated
Aug 16, 2024
User Management API development
This web application automates data cleaning, enabling users to upload CSV or XLSX files. It processes the data to manage missing values and remove duplicates, then allows users to download the cleaned dataset. Built with Flask and Pandas, it simplifies the data preparation process.
Welcome to the "Python for Beginners" directory! 🚀 This directory is designed for individuals who are new to Python programming and are eager to learn from scratch. Whether you are a complete beginner or have some basic programming experience, you'll find a collection of Python codes tailored to help you grasp the fundamentals
EquiPay is a mobile app for effortlessly managing and splitting bills among friends or groups. It features group expense tracking, bill settling, and receipt image uploading, making financial transactions transparent and fair.
A simple banking system using HTML, CSS, javascript, MYSQL and Python Flask
A Machine Learning Project to predict Bangalore House Prices.
Efficiently manage grocery store operations with an integrated frontend, Python backend, and MySQL database.
Welcome to Translator, your premier destination for language translation! Unlock the power of communication with our extensive range of over 100 languages made with Python and Flask.
PassGenix - A password generator site which allows a user to generate an optimal password based on industry standard guidelines.
A simple Flask web app for user authentication. Users can create accounts, log in. User data is stored in a JSON file for easy management and persistence.
A receipt organizer (first hackathon project)
building a market platform with an authentication system by using Flask Python web framework
contains files of lab done during cloud computing course BCE-C514 (V sem)
Helm chart that Deploy Static HTML page By Python Flask
Leverage actions, custom metadata, and claims for attribute-based access control
The goal of this machine learning project is to predict the selling price of a new home by applying basic machine learning (regression)concepts to the housing prices data.
Web Application Project
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