Name: Nader Elsayed bekir
Type: User
Company: @CATReloaded
Bio: Data Science Enthusiast| Machine Learning | Computer Science student š
Twitter: NaderBekir1
Location: Mansoura, Dakahlia, Egypt
Blog: https://www.linkedin.com/in/nader-bekir/?jobid=1234
Nader Elsayed bekir's Projects
š Papers by organizations sharing their work on applied data science & machine learning.
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository contains best profile readme's for your reference.
A curated list of awesome Machine Learning frameworks, libraries and software.
Probably the best curated list of data science software in Python.
Developed a Power BI report on RBC Customer churn Analysis
Web Scrapping
Dataset capturing the number of cases and deaths for various countries across the world daily for the first six months in the year 2020
CV Aid is a set of helpers of computer vision tasks.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Data science interview questions with answers. Not ideally (yet)
Data Science RoadMap
This repository contains the source code and documentation for a Telecom Data Pipeline project. The project focuses on building an Extract, Transform, Load (ETL) pipeline for telecom customer transactions.
This is a curated roadmap to becoming a professional Front-end Developer that anyone could use to learn about the practice of front-end development.
š Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
My graduation project - "Healthy Life" - Nutrition and fitness app
Hands-On Reinforcement Learning with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This is a repo for my " ITI-Computer-Vision-Winter-Training "
Landslides occur in all 50 states. Causing between 25 and 50 deaths every year in the US alone and thousands more in vulnerable areas around the globe. Landslides include debris avalanches, debris flows down carrying large rocks, block movements causing huge damage and loss to people, their homes, farms and cattle, industrial and other structures. Our project detects landslides' whereabouts and predicts their level of risk, potential casualties, and the cost of their impacts. Using a user-friendly website &machine learning model trained on data from NASA satellites and ground-based sources. providing affected communities and governments with the information needed for timely decision-making.