Pinned Repositories
Amazon-IPhone-12-Data-Scrapped
Beautiful Soup is a Python library for getting data out of HTML, XML, and other markup languages.
aws-serverless-2fa-token-service
This repository showcases my POC for a serverless backend system to generate and deliver single-use tokens for two-factor authentication (2FA) on AWS. Key features include secure token generation, flexible delivery methods, resilience, and modular design. Documentation includes architecture, implementation steps, and security best practices.
Covid-19-Data-Visualization
covid-19-data-visulaization
Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Extreme Gradient Boosting
Driver-Drowsiness-Detection-Using-OpenCV
It is a open-CV based project to detect drowsiness of a driver from video footage
Early-Covid-19-Detection
Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative.
Employee-Satisfaction-and-Attrition
Analysis of attrition based on environmental satisfaction from a Kaggle dataset.
NLP-Course
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Scraping-Medium-and-Data-Analytics
The file DataExtraction.py extracts information from the json files scrapped by the scrapper medium_scrapper_post.py. To extract information from json files scrapped by medium_scrapper_tag_archive.py (scrapping from tags archive) then use Data_Extraction_Archive_Tags.py
Transfer-Learning-on-Covid-Data
This deep learning model(CNN) uses Transfer learning by Feature Extraction and Fine Tuning in order to make multiclass-classification between COVID-19, Pneumonia and Healthy images.
mumtaz4118's Repositories
mumtaz4118/Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Extreme Gradient Boosting
mumtaz4118/Early-Covid-19-Detection
Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative.
mumtaz4118/Transfer-Learning-on-Covid-Data
This deep learning model(CNN) uses Transfer learning by Feature Extraction and Fine Tuning in order to make multiclass-classification between COVID-19, Pneumonia and Healthy images.
mumtaz4118/Amazon-IPhone-12-Data-Scrapped
Beautiful Soup is a Python library for getting data out of HTML, XML, and other markup languages.
mumtaz4118/Covid-19-Data-Visualization
covid-19-data-visulaization
mumtaz4118/Driver-Drowsiness-Detection-Using-OpenCV
It is a open-CV based project to detect drowsiness of a driver from video footage
mumtaz4118/Employee-Satisfaction-and-Attrition
Analysis of attrition based on environmental satisfaction from a Kaggle dataset.
mumtaz4118/NLP-Course
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
mumtaz4118/Scraping-Medium-and-Data-Analytics
The file DataExtraction.py extracts information from the json files scrapped by the scrapper medium_scrapper_post.py. To extract information from json files scrapped by medium_scrapper_tag_archive.py (scrapping from tags archive) then use Data_Extraction_Archive_Tags.py
mumtaz4118/Stack-Implementation-in-C-
Using Stack (OOP Implementation for my TAship Class Tutorial)