GufranBhatti
Enthusiastic data alchemist turning data into gold through the magic of analytics and machine learning, fueling a data-powered future.
Precision Bird (Pvt) LimitedKarachi, Pakistan
GufranBhatti's Stars
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
said7388/developer-portfolio
Software Developer Portfolio Website built with next.js and tailwind CSS that helps you showcase your work and skills as a software developer.
Flor91/Data-engineering-nanodegree
Projects done in the Data Engineering Nanodegree by Udacity.com
julianjohannesen/Udacity-SQL-Notes
Some notes on Udacity's SQL course
danielmapar/AIProgramming
AI Programming with Python Nanodegree Program: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
Sany07/EdTech-Platform-Django-SSlcommerz
GainSkill is a course selling platform where Instructors can publish their courses, also can add course related quiz. Students can enroll course directly if the course is free otherwise they have to purchase using Sslcommerz payment gateway.
sayanbanerjee992/Network-based-Intrusion-Detection-System
The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance
harrychangjr/portfolio
Portfolio website developed and deployed using Streamlit
indrayudhroy/Distributed-Network-Intrusion-Detection-System-with-Machine-Learning
A research & development project to create and deploy a Network-based Intrusion Detection System (IDS) to detect intruders on a distributed system. That is, it detects and classify threatening or anomalous network traffic as opposed to safe traffic and usage. The project runs on a real-time, distributed cluster on Apache Storm which processes incoming network packets, and uses our novel algorithms and Machine Learning to detect intruders. It uses supervised Machine Learning classifiers such as decision trees, ensemble decision trees, support vector machines, etc. as well as being built with the principles of anomaly-based Intrusion Detection Systems.
AlexanderGureev/neural_net_ids
A Neural Network based system for Intrusion Detection and attack classification.
zainulabidin302/urdu-script
open source urdu compiler
atewamba/SQL_Database
hamza-khalidd/etchkay
A compressed pathway in the domain of data science & analytics
HaroonShahid1/Haroon-Portfolio
ManelAnsari/The-spark-Task-6-Iris
The spark internship Decision Tree
richardzefan/IBM-COURSE-COURSERA-TASK