sujay-tandel Goto Github PK
Name: Sujay Tandel
Type: User
Name: Sujay Tandel
Type: User
In data mining, anomaly detection is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.
In this proposed system, our relevance is to focus on detection of fake currencies which is spread in the market. In our work fake currency is identified by extracting the security thread feature in the currency note. And detecting the fake currency, using deep neural network.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Lectures for Udemy - Complete Python Bootcamp Course
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. This model is then used to identify whether a new transaction is fraudulent or not.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Learn Kotlin programming from scratch
Linux kernel source tree
Optical Character Recognition (OCR) is a process by which specialized software is used to convert scanned images of text to electronic text so that digitized data can be searched, indexed and retrieved.
The goal of this project is to build a machine learning model to predict the probability that a loan will charge off. We will attempt to only use data available to investors via the LendingClub loan listing, including information about the borrower (income, employment length, FICO score, debt-to-income ratio, etc.) and the loan listing (the loan amount, loan purpose, loan grade, interest rate, installment, etc.). Such a predictive model could help LendingClub investors make better-informed investment decisions. We will only consider loans that LendingClub accepted under its credit underwriting policy.
- The website was designed and developed using HTML, CSS, JavaScript and Node.js integrated with Responsive UI, Authentication, Authorization and Database features. - The website is a blog based website where users can Authenticate, share there exploring experiences and also add comments.
Twitter Backend Clone
The application will be a python-based application for visually impaired persons using speech to text voice response, thus enabling everyone to control their mail accounts using their voice only and to be able to read,send, and perform all the other useful tasks. The system will prompt the user with voice commands to perform certain action and the user will respond to the same. The main benefit of this system is that the use of mouse is completely eliminated, the user will have to respond through voice and keyboard click only.
A Wireless Identification, and Sensing Platform is a family of sensors that are powered and read by UHF RFID readers.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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