Divyam 's Projects
ActEarly is a child development milestone application created during the Mitacs Globalink Research Internship for Canadian government hospitals. It helps monitor and track children's developmental milestones, providing valuable insights and support to parents and healthcare professionals.
DSA assignments
Bank Churn Binary Classification using XGBoost Model
The completed code for the BMI Project - The Complete Flutter Development Bootcamp
This is the project 2 of Exploratory Data Analysis by Johns Hopkins University on coursera.
Data science ToolBox Assignment Project
The Leek group guide to data sharing
DishDash is a food delivery app made using MERN stack
Plotting Assignment 1 for Exploratory Data Analysis
the hosted link is https://savvy-spend.netlify.app/
10X Fast I/O Library for C++
It is a responsive calculator that can work in any angle. I saw the design on a youtube channel called Mitch Koko, I tried to edit it as clean code.
Starter repo for task 1 of the JPMC software engineering program
Starter repo for task 2 of JPMC's forage program
Starter repo for task 3 of JPMC's Forage program
This repository contains the code and data for the Getting and Cleaning Data Course Project, a Coursera course offered by Johns Hopkins University. The purpose of the project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. :)
Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease
React based Campus Placement Web Site for ignite @ Delhi University
my first github repository :)
Mashup Creator is a cutting-edge web application that seamlessly blends tracks from YouTube videos to produce personalized, high-quality music mashups tailored to each user's preferences.
A all-round website for money management
The 'Matrix Multiplication Performance Benchmark' project evaluates the impact of multi-threading on matrix multiplication efficiency. Using Python libraries like NumPy and threading, it measures computation time and CPU utilization, providing insights for optimizing computational tasks.