Yash Chaturvedi's repositories
Bank-Customer-Churn-ANN
Our goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn)
CPU-and-Memory-Monitor
A script to monitor CPU and memory usage for a given process id. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Stock_Price_Prediction_RNN
We implement a Recurrent Neural Network with multiple LSTM(Long Short Term Memory) layers, and use this to predict the stock. In this particular example, I am using a dataset with google price details, and so it will predict the google stock price. But the dataset, can be modified easily to predict any stock.
C-UNIX
These projects are property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Car-Selling-Application
This project is a part of CS 34800 Information Systems class at Purdue University. We designed a vehicle selling application/dashboard, where a buyer can customize, build and buy the cars that they want. It also has functionalities appropriate for the seller too which are listed below.
Common-Sorting-Algos
This file has all the the common sorting algorithms.
Image-classification-CNN
A Convolutional Neural Network that is able to detect various objects in images.
My-Shell
The goal of this project is to build a shell interpreter which combines behavior from common shells, including bash and csh. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Network-Project
A small scaled version of the internet in Java, using graph techniques, Kruskal's algorithm and other relevant data structures. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Credit-Card-Fraud-Applications-SOMs
We use self organizing maps to solve the business challenge here which is about detecting fraud in credit card applications.
HTTP-server-concurrent
We implement a HTTP server that will allow a HTTP client (a web browser like FireFox or Internet Explorer ) to connect to it and download files.
Largest-Prime-factor
Write a recursive algorithm for determining the largest prime factor of a number N.
Max-Product-Grid
Given an N × N grid of integers and an integer M ≤ N , determine the maximum product that can be made from M integers that are next to each other in the grid (horizontally, vertically, or diagonally.)
Modified-Sorting
Modified versions of common sorting algorithms, making them even faster. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Password-Checker
This project contains a script that tests the passwords, and assigns a score to them, depending upon how strong they are. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.
Python_Basics
This repository contains notebooks with experimental code, for pandas, numpy, Matplotlib, seaborn. Worked on these with time, and noted down the important code for easy future reference.
Real_Estate_Evaluation
This project is a part of AAI 500 Probability and Statistics for Artificial Intelligence. In this project, we will work with a dataset of real estate transactions in Taiwan to predict the house price of a unit area based on several features.
Sentiment_Analysis-Amazon_Reviews
In this project, we aim to perform sentiment analysis on Amazon product reviews for the Home Improvement category.
Sequential-vs-Mutitasking
This experiment compared the impact of normal and ancillary activities on the performance of an individual while executing the primary task. The main objective is to find how multitasking affects the performance of people, as compared to completing the tasks sequentially.
TreeKnowsAll
This is a project done at Purdue University, under the guidance of Professor Hisham Benotman.
UNIX_commands
Some commonly used UNIX commands.
What-county-demographics-can-tell-us-about-poverty-rates
This team project was done for the Applied Regression Analysis course at Purdue University. The main objectives are to find the best model of poverty through regression analysis in SAS 9.4 from the following CDI variables: high school graduation rates, percent of population with a bachelor’s degree, unemployment, and per capita income, population density and land area. We also aim to compare the results to more recent studies of poverty predictors to see if education and income are still strongly associated with poverty.
Word-Processor
A simple word processor using data structures like tries. This project is a property of Purdue University, and copying any part of the code would be a violation of Purdue's academic honesty code.