Discover shsarv/Games-Adda Open Source project

A collection of data analysis and visualization projects designed to uncover insights from diverse datasets. These projects include analyses on COVID-19 trends, stock trading patterns, housing market prices, IoT data, and more, showcasing the power of data-driven storytelling.

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Data-Analytics-Projects-in-python

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.

TravelYaari-react

This is the Repository for the Full Stack mini Project using Front End frameworks and Technologies.

TravelYaari

An effective Agric-E-commerce solution where people can buy fresh agricultural products directly from the farmers and let farmers sell their products without paying extra charges in between as well as grow up their market outside of the locality.

AwareWeGO

An end-to-end restaurant recommendation system built with Flask and Python. This project showcases a fully functional web application, hosted on Heroku, that helps users discover the best dining options based on their preferences.

Restaurant-Recommendation-System

In this repository, I will keep my all Deep Learning project implementations.

Deep-Learning-Projects

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).

Cardio-Monitor

End to end Diabetes prediction Machine learning-based project developed using flask & deployed on Heroku app.

Diabetes-prediction

the backend of TravelYaari Created using ExpressJs, NodeJs, and NoSql Database MongoDB (connect to MongoDB Atlas)

TravelYaari-Api

Machine learning project on Distinguish between the presence and absence of cardiac arrhythmia and its classification in one of the 16 groups.

Project-Arrhythmia

HackeRank 30 days of code challenge Solution implemented in Python, Java, and C Language.

30-days-of-code

Java

ChatBot

This is the source code of article how to create a chatbot in python . i.e A chatbot using the Reformer, also known as the efficient Transformer, to generate dialogues between two bots.

This is the Repository for the Mini Project done using the flask and python libraries, required as a part of the course curriculum.

UNPLUG-THE-PLAYER

Machine-learning work on prediction of wine quality using data set taken from Kaggle using Scikit-learn.

Wine-Quality-prediction

My portfolio website and its deployment using github pages.

shsarv-portfolio

CSS

Customer-segmentation

Prediction and finding the clusters of potential customers of the mall using k-means Clustering.

A CRUD API for a contact book flask app created using pymongo python and flask.

ContactBookAPI

Module 3 Bootstrap based web project performed during Internshala Web Development Training.

bootstrap1

Simon game development using Front end Technologies.

Simon-Game

This Repository stores Lab-works of Machine learning and its application course.

ML-and-its-Application

A web development project of an E-commerce site using HTML ,CSS Bootstrap and PHP with mysqli.

E-Store

PHP

linkedlist-with-java

LinkedList Implementation and solutions of different problems related to linkedlist taken from Hackerrank and Leetcode.

Java

Full-Stack-1

Front end web development practicals and Implementations from scratch.

A basic invasion game created using Javascript and CSS3 framework with some HTML.

refactored-adventure

CSS

Coursera_capstone

The capstone project of IBM Data Science professional certificate course offered by Coursera

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?

Predicting-Property-Maintenance-Fines

My Assignment work on Data-Analysis, Data-Visualization, and Machine learning Algorithms.

Data-Science-Assignment

Machine learning mini project for prediction of chances for getting admission in a college based on performance.

Admission-Prediction

Indian premium league first inning Score prediction model using Machine learning Algorithms in python

IPL-Score-prediction

Machine-Learning

This repository includes different Data-Structures and Algorithms performed in python for the course-Design and Analysis of Algorithms.

Data-Structure-and-Algorithms

The solutions of Hackerrank tutorial '10 days of Statistics ' implemented in python.

Hackerrank-10-Days-of-Statistics

the backend of Mini project AwareWeGo Created using ExpressJs, NodeJs, and NoSql Database MongoDB (connect to mongodb atlas)

AwareWeGo-Api

this is a Template repository whose Readme.MD page will appear on my Github public profile.

shsarv

HackerRank-C-Solution

Hackerrank Solve C Practice Questions Solutions

Image-Augmentation

Image Data Augmentation with Keras and Image data generator with keras model.

This repository contains machine learning Courses that I undertook from Online Platforms Coursera .

machine-learning-courses

Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.

Research-topic-Prediction

An adventurous Space Shoot Game between SpaceShip and Asteroid for survival created using P5.

Stellaris-Survival

Solutions of Project Euler challenge problems created in python3

ProjectEuler

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.

TimeSeries-Multi-StoreSales

This experiment is the classification of human activities using a 2D pose time series dataset and an LSTM RNN. The idea is to prove the concept that using a series of 2D poses, rather than 3D poses or a raw 2D images, can produce an accurate estimation of the behaviour of a person or animal.

Human-Activity-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

Distracted-Driver-Detection