Language Identification Model: I trained and built a supervised machine learning model to identify the name of a language based on the written text, with 98% accuracy

keywords: neural networks, distributed representations of words, fasttext, python, pandas, numpy, bash scripts

Python Datasets package: I built a Python package that provides instant access and download for over 750 scientific datasets which largely used in data science and machine learning research (The project has more than 800 stars on GitHub and tens of thousands of downloads)

keywords: pandas, datasets, data science

4th place in a mini ML hackathon: Image classification competition to classify images into 13 categories (Simpson characters). Data, training: 15K images, and test: 1600 images

keywords: python, keras, deep learning, image classification, data augmentation

Sentiment Analysis Model: I trained and built an unsupervised language model based out of a large corpus of Arabic text. And applied it with binary classifiers to achieve improved sentiment classification accuracy in compare to hand-crafted-feature methods

keywords: word embeddings, word2vec, genism, machine learning, nltk, pandas

Bayesian Decision Theory: I implemented a 2D Bayesian classifier based on Bayesian decision theory for non-parametric estimation

keywords: classification, bayesian decision

Information Gain and Entropy of Probability distribution: I implemented an algorithm for calculating information gain and probability distribution

keywords: probability, decision tree learning

Linear Regression model with gradient descent algorithm: I implemented (from scratch) a linear regression model based on gradient descent optimization algorithm

keywords: regression, gradient descent

K-means algorithms implementation: I implemented (from scratch) the clustering algorithm "K_means" using recursive approach

keywords: k_means, clustering

iversions: I built a tool for helping Python developers to quickly access meta information about the imported software in their programs

keywords: ipython, jupyter notebooks, cell magic command

TermFeed: I built a Python package for fetching and reading RSS feeds via terminal

keywords: terminal applications, news feed, python

Demo ETL pipeline: I created a self-contained Extract-Transform-Load data pipeline as a demo for question-solution scenario related to a data-science-engineering problem

keywords: pandas, sqlite, etl, data pipelines

Rendering relational data in graphs (PyGraph): I built a software package that helps users to easily render and visualize relational data in graphs to facilitate analysis

keywords: visualization, graphs, graphviz, python

Web Scraping and 3D Visualization: I developed a project for scraping a public website to extract statistical data and 3D visualize the data

keywords: web scraping, 3D/2D visualization, plotly, python

Oud Animator: a terminal app for animating musical notes on Oud strings

keywords: python, curses, terminal application, oud, arabic music

Predicting Air Traffic Delay: I applied machine learning-based analysis to understand the contributing factors for "Why do flights get delayed?"

keywords: keras, catboost, xgboost, pandas, matplotlib

Sorting algorithms comparison: I implemented (comparison-based) sorting algorithms from scratch with comparing and visualizing their performance

keywords: algorithms analysis, sorting

A collection of Dash docsets contributions: API documentations to use with Dash "Browser and Code Snippet Manager" for easier code navigation an search experience.

keywords: web scraping, api documentation, beautifulsoup