Pinned Repositories
-Medical-Cost-Personal
Advanced-Analytics-with-R-and-Tableau
Advanced Analytics with R and Tableau, published by Packt
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
github-cheat-sheet
A list of cool features of Git and GitHub.
Hadith-Data-Sets
All Hadith With Tashkil and Without Tashkel from the Nine Books that are 62,169 Hadith.
Most-Frequent-5000-Words-in-Quran-and-Hadith
Most Frequent 5000 Words in Quran and Hadith
MyProjects-At-Udacity
My submitted projects on Udacity; Presentations, Python scripts, ipynb Notebooks, Dashboards links ..... etc
PyQuran
PyQuran: The Python package for Quranic Analysis https://hci-lab.github.io/PyQuran-Private
Quran-and-Arabic-Language-Repository
Projects & Libraries related to Quran & Arabic Language
resources-of-learning
Documentations, books, courses, git repositories, and so on. Keep learning. To be a great developer.
Mostafa-At-GitHub's Repositories
Mostafa-At-GitHub/AdamCoscia.github.io
Adam Coscia's professional website
Mostafa-At-GitHub/AIPND
Code and associated files for the AI Programming with Python Nanodegree Program
Mostafa-At-GitHub/awesome-postgres
A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql
Mostafa-At-GitHub/Basic-Programs-Python
Simple programs for reference, a good place to start contributing. Note: This repo is often used to help first-time contributors make their first contributions in talks, workshops
Mostafa-At-GitHub/Cheat-Sheets
Mostafa-At-GitHub/CodeGen
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.
Mostafa-At-GitHub/course-git-blog-project
Sample repo of a blog for the Git course
Mostafa-At-GitHub/darts
A python library for easy manipulation and forecasting of time series.
Mostafa-At-GitHub/dmbook-slides
Data Mining Book Slides
Mostafa-At-GitHub/eitanlees.github.io
My Blog
Mostafa-At-GitHub/Introduction-to-DataCamp-Projects
Project Description This is an introduction to DataCamp projects. DataCamp projects allow you to apply the skills you have learned in DataCamp courses. In each project, you will carry out an end-to-end analysis on real-world tasks using real-world tools and workflows. In doing so, you will learn how to work with Jupyter notebooks: an open-source web application that is great for interactive data analysis.
Mostafa-At-GitHub/javascript-interview-questions
List of 1000 JavaScript Interview Questions
Mostafa-At-GitHub/Julia-DataFrames-Tutorial
A tutorial on Julia DataFrames package
Mostafa-At-GitHub/JuliaCon2021-DataFrames-Tutorial
A tutorial on DataFrames.jl prepared for JuliaCon2021
Mostafa-At-GitHub/jupyter-flex
Build dashboards using Jupyter Notebooks
Mostafa-At-GitHub/mermaid
Generation of diagram and flowchart from text in a similar manner as markdown
Mostafa-At-GitHub/nlp_course
YSDA course in Natural Language Processing
Mostafa-At-GitHub/patsy
Describing statistical models in Python using symbolic formulas
Mostafa-At-GitHub/pbpython
Code, Notebooks and Examples from Practical Business Python
Mostafa-At-GitHub/peterroelants.github.io
Blog
Mostafa-At-GitHub/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Mostafa-At-GitHub/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Mostafa-At-GitHub/PyWaffle
🧇 Make Waffle Charts in Python.
Mostafa-At-GitHub/rawgraphs-app
A web interface to create custom vector-based visualizations on top of RAWGraphs core
Mostafa-At-GitHub/s3contents
A S3 backed ContentsManager implementation for Jupyter
Mostafa-At-GitHub/sqlitebrowser
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
Mostafa-At-GitHub/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Mostafa-At-GitHub/The-Android-App-Market-on-Google-Play
Project Description Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this project, you will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. You'll look for insights in the data to devise strategies to drive growth and retention. The data for this project was scraped from the Google Play website. While there are many popular datasets for Apple App Store, there aren't many for Google Play apps, which is partially due to the increased difficulty in scraping the latter as compared to the former. The data files are as follows: apps.csv: contains all the details of the apps on Google Play. These are the features that describe an app. user_reviews.csv: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed, passed through a sentiment analyzer engine and tagged with its sentiment score.Project Tasks 1. Google Play Store apps and reviews 2. Data cleaning 3. Correcting data types 4. Exploring app categories 5. Distribution of app ratings 6. Size and price of an app 7. Relation between app category and app price 8. Filter out "junk" apps 9. Popularity of paid apps vs free apps 10. Sentiment analysis of user reviews
Mostafa-At-GitHub/udacity_suse_project_tshirt
Repository for resources and images that are part of the Udacity SUSE Cloud Native Foundations scholarship program
Mostafa-At-GitHub/WhyNotWin11
Detection Script to help identify why your PC isn't Windows 11 Release Ready