Pinned Repositories
creditcardapproval
Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays. In this project, automatic credit card approval predictor was built using machine learning techniques, just like the real banks do.
anomaly
cryptocurrency-analysis
Since the launch of Bitcoin in 2008, hundreds of similar projects based on the blockchain technology have emerged. We call these cryptocurrencies (also coins or cryptos in the Internet slang). Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future1. In fact, on the 6th of December of 2017, Bitcoin has a market capitalization above $200 billion.This project aims to show the variations in the prices and stability or instability of this new currency.
cv
DiceGame
This is a dice game.
digitrecognition
DrumKit
This is a digital drumkit.
first
first2
imagecompression
prakharkrsaxena's Repositories
prakharkrsaxena/Newsletter
prakharkrsaxena/WeatherProject
prakharkrsaxena/SimonGame
prakharkrsaxena/DiceGame
This is a dice game.
prakharkrsaxena/mycv
prakharkrsaxena/DrumKit
This is a digital drumkit.
prakharkrsaxena/my_cv
prakharkrsaxena/cv
prakharkrsaxena/Internity-Internship
prakharkrsaxena/opencv1
prakharkrsaxena/opencv
Open Source Computer Vision Library
prakharkrsaxena/webdev
prakharkrsaxena/ML1
Using Tensorflow to determine petal leaves.(Classification Problem)
prakharkrsaxena/KNN2
This is demonstration of K Nearest Neighbor Algorithm on a public dataset.
prakharkrsaxena/KNN
prakharkrsaxena/cryptocurrency-analysis
Since the launch of Bitcoin in 2008, hundreds of similar projects based on the blockchain technology have emerged. We call these cryptocurrencies (also coins or cryptos in the Internet slang). Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future1. In fact, on the 6th of December of 2017, Bitcoin has a market capitalization above $200 billion.This project aims to show the variations in the prices and stability or instability of this new currency.
prakharkrsaxena/creditcardapproval
Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays. In this project, automatic credit card approval predictor was built using machine learning techniques, just like the real banks do.
prakharkrsaxena/lesions
prakharkrsaxena/spamclassifier
prakharkrsaxena/digitrecognition
prakharkrsaxena/imagecompression
prakharkrsaxena/anomaly
prakharkrsaxena/stcs
prakharkrsaxena/machinelearningcoursera
prakharkrsaxena/first2
prakharkrsaxena/first
prakharkrsaxena/ml
machine learning projects
prakharkrsaxena/pythonforeverybody
prakharkrsaxena/temp