Divyam6969

AssignmentsDSA

DSA assignments

BMI-Calculator-Flutter-Completed

The completed code for the BMI Project - The Complete Flutter Development Bootcamp

chronology

DishDash-MERN

DishDash is a food delivery app made using MERN stack

Divyam6969

news-app-newsnerd

NewsNerd is a news app that uses the NewsAPI to provide users with the latest news from around the world. The app allows users to select their preferred sources and topics, and the news is delivered in real-time. With NewsNerd, users can stay informed and up-to-date on current events

Pneumonia-Detection-AI

Pneumonia detection ML model

Pneumonia-Detection-using-FastAI

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

Topsis-Divyam-102103142

This package provides a command-line tool to rank a set of alternatives based on their performance against multiple criteria. Easily analyze your dataset and make informed decisions.

SavvySpend-Wu-Shang-Clan-

The utilization of GitHub Copilot in the development of the Finance Tracker object significantly enhanced productivity and code quality. By generating boilerplate code, offering syntax correction suggestions, and providing smart auto-completion, Copilot streamlined the coding process and helped maintain consistency.

Divyam6969/Pneumonia-Detection-using-FastAI

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

Divyam6969/Pneumonia-Detection-AI

Pneumonia detection ML model

Divyam6969/Divyam6969

Divyam6969/Getting-and-Cleaning-Data-Course-Project

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. :)

Divyam6969/Mashup-Project

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.

Divyam6969/textart

textart

Divyam6969/Topsis-Divyam-102103142

This package provides a command-line tool to rank a set of alternatives based on their performance against multiple criteria. Easily analyze your dataset and make informed decisions.

Divyam6969/DishDash-MERN

DishDash is a food delivery app made using MERN stack

Divyam6969/ActEarly

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.

Divyam6969/Bank-Churn-Binary-Classification

Bank Churn Binary Classification using XGBoost Model

Divyam6969/clustering-divyam-102103142

Divyam6969/coursera-exploratory-data-analysis-course-project-2

This is the project 2 of Exploratory Data Analysis by Johns Hopkins University on coursera.

Divyam6969/datasciencecoursera

Data science ToolBox Assignment Project

Divyam6969/datasharing

The Leek group guide to data sharing

Divyam6969/ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

Divyam6969/expense-tracker

the hosted link is https://savvy-spend.netlify.app/

Divyam6969/fast-io-cpp

10X Fast I/O Library for C++

Divyam6969/Heart-Disease-Prediction

Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease

Divyam6969/ignite

React based Campus Placement Web Site for ignite @ Delhi University

Divyam6969/ML-Udemy

Divyam6969/Multithreading-102103142

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.

Divyam6969/NLP-Insights-into-Comedian-Transcripts

This project was done for the UCS672 course, "Data Science Applications: NLP, Computer Vision, and IoT." This project leverages Natural Language Processing (NLP) techniques to analyze comedian transcripts, extracting key themes, sentiment, and linguistic patterns to understand what makes certain jokes resonate with audiences.

Divyam6969/Parameter-Estimation-Assignment

This is my solution for Paramater Estimation Assignment-6 of Course UCS654

Divyam6969/Parameter-Optimization-SVM

This is my solution for Assignment "Parameter Optimization of SVM" for course UCS654

Divyam6969/ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

Divyam6969/RStudio-testing

A repository which will be connected to RStudio

Divyam6969/Sampling-Divyam-102103142

Divyam6969/SavvySpend

The utilization of GitHub Copilot in the development of the Finance Tracker object significantly enhanced productivity and code quality. By generating boilerplate code, offering syntax correction suggestions, and providing smart auto-completion, Copilot streamlined the coding process and helped maintain consistency.

Divyam6969/Text-Classification-Topsis

This project uses the topsis package to determine the best model for text classification (NLP)

Divyam6969/UCS410-PNS-Solutions

This repository comprises solutions for UCS410 Probability and Statistics assignments