Shivani Chauhan's Projects
Attendance Capturing System developed using AWS.
assignment-1-Shivani-781 created by GitHub Classroom
assignment-2-Shivani-781 created by GitHub Classroom
This project is completed as a part of Machine Learning coursework. It aims to detect the presence and absence of Cardiac Arrhythmia and classifies it into one of the 16 available groups.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Capstone project on Applied Data Science.
Demo Project
The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. Formally, given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist. Our objective is to predict the labels on the test data set.
This Repository is for our FullStack Project
A Full Stack project completed as a part of Full Stack -1 coursework. Eval is an educational website for preparing for IITJEE.
This is a simple web page made to complete a Full-Stack assignment - Live your web-page on GitHub.
Contains all the practicals done while learning Full Stack - 1.
The project is based on my work as a Research Intern under the supervision of Dr. Manish Kumar, Associate Professor at IIIT, Allahabad.
Facial recognition system that can detect and recognize faces using dlib.
Contains theory and lab materials for studying ML and its Applications.
This project is completed as a part of Mini-Project-1. Quiz Master is an android app built using Java and is integrated using Firebase.
Basic Implementation of Java
Life expectancy is a statistical measure of the average time a human being is expected to live. Life expectancy depends on various factors: Regional variations, Economic Circumstances, Sex Differences, Mental Illnesses, Physical Illnesses, Education, Year of their birth and other demographic factors. The project relies on the accuracy of the data. The Global Health Observatory (GHO) data repository under the World Health Organization (WHO) keeps track of the health status as well as many other related factors for all countries. The datasets are made available to the public for the purpose of health data analysis. The data-set related to life expectancy, health factors for 193 countries have been collected from the same WHO data repository website and its corresponding economic data was collected from the United Nations website. Among all categories of health-related factors, only those critical factors were chosen which are more representative. This problem statement provides a way to predict the average life expectancy of people living in a country when various factors such as year, GDP, education, alcohol intake of people in the country, expenditure on the healthcare system, and some specific disease-related deaths that happened in the country are given. Dataset link: https://www.kaggle.com/kumarajarshi/life-expectancy-who Node Red Dashboard link: https://node-red-gqvir.eu-gb.mybluemix.net/ui/#!/0?socketid=90Zn5pBVueIhYhqrAAAF Node Red Flow link: https://node-red-gqvir.eu-gb.mybluemix.net/red/#flow/a8e9a1cc.fa2a
Bubble Sort, Counting Sort, Heap Sort, Insertion Sort, Merge Sort, Quick Sort, Selection Sort, Radix Sort