Sarvesh Kumar Sharma's repositories
Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
TravelYaari-react
This project delivers a travel website that inspires wanderlust through vibrant imagery and key destination highlights. It offers budget-friendly bookings, easy payments, and full customer support, along with immersive virtual tours via videos and images.
Cardio-Monitor
Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).
Project-Arrhythmia
Machine learning project on Distinguish between the presence and absence of cardiac arrhythmia and its classification in one of the 16 groups.
TravelYaari-Api
the backend of TravelYaari Created using ExpressJs, NodeJs, and NoSql Database MongoDB (connect to MongoDB Atlas)
Games-Adda
Contain some small Fun games using Front end technologies (HTML, CSS, JavaScript, and Bootstrap ) performed while learning front end.
linkedlist-with-java
LinkedList Implementation and solutions of different problems related to linkedlist taken from Hackerrank and Leetcode.
Predicting-Property-Maintenance-Fines
This is based on a data challenge from the Michigan Data Science Team (MDST). The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by the city to individuals who allow their properties to remain in a deteriorated condition. Every year, the city of Detroit issues millions of dollars in fines to residents and every year, many of these fines remain unpaid. Enforcing unpaid blight fines is a costly and tedious process, so the city wants to know: how can we increase blight ticket compliance?
AwareWeGo-Api
the backend of Mini project AwareWeGo Created using ExpressJs, NodeJs, and NoSql Database MongoDB (connect to mongodb atlas)
Distracted-Driver-Detection
In this, you are given driver images, each taken in a car with a driver doing something in the car (texting, eating, talking on the phone, makeup, reaching behind, etc). Your goal is to predict the likelihood of what the driver is doing in each picture. The 10 classes to predict are as follows, c0: safe driving c1: texting - right c2: talking on the phone - right c3: texting - left c4: talking on the phone - left c5: operating the radio c6: drinking c7: reaching behind c8: hair and makeup c9: talking to passenger
Research-topic-Prediction
Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.
Stellaris-Survival
An adventurous Space Shoot Game between SpaceShip and Asteroid for survival created using P5.
TimeSeries-Multi-StoreSales
In this, We will work with a challenging time-series dataset consisting of daily sales data, kindly provided by one of the largest Russian software firms - 1C Company.
100DaysOfAlgo
This repo will contain the coding DSA problem solved by me as part of my #100daysofalgo challenge taken up by me on Linkedin
Applied-Deep-Learning
Applied Deep Learning
Colorize-Black-White-Image
This Deep Learning Project aims to provide colorizing black & white images with Python. In image colorization, we take a black and white image as input and produce a colored image. We will solve this project with OpenCV deep neural network.
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
ideahub
A collection of ideas and projects that contain from beginner to advance :octocat: 🎯🚀
Jar-web-app
JAR is chatting web app that lets you connect to people around the world. You can create rooms and chat with anyone around the globe.
Lane-Line-Detection
Lane Line detection is a critical component for self driving cars and also for computer vision in general. This concept is used to describe the path for self-driving cars and to avoid the risk of getting in another lane. In this repo, we will build a machine learning project to detect lane lines in real-time. We will do this using the concepts of computer vision using OpenCV library. To detect the lane we have to detect the white markings on both sides on the lane.
Mechanisms-Of-Action-MoA-Prediction-Challenge
The task is to use the training dataset to develop an algorithm that automatically labels each case in the test set as one or more MoA classes. Note that since drugs can have multiple MoA annotations, the task is formally a multi-label classification problem.
Snake-eat-Game
Arcade Snake Game
Tweet-Classification-NLP
In this, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. You’ll have access to a dataset of 10,000 tweets that were hand classified.