Alaa Khaled's repositories
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Office365itpros
Office 365 for IT Pros PowerShell examples
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
La-Liga-Chatbot
This chatbot can have a comprehensive conversation with the user while giving him/ her some information about the history of La Liga Clubs
Taxi-driver-Arrival-Time-prediction
An attempt to solve the New York taxi arrival time prediction kaggle competition
SanFrancisco_Crime_Description_Category_Classification
A project where I use the San-Francisco crime dataset to do some data analytics and visualization, then using MLlib from Pyspark to build a classification model that can classify a crime description to one of 39 crime categories including (ASSAULT, BRIBERY, etc...)
twitter_account_crawling_using_selenium
A project of twitter accounts crawling using Selenium
Newspaper-Articles-Daily-Crawler
An implementation to a Scrapy Web Crawler, that crawl article links from Newspapers websites on a daily basis. Mainly Arabic Written Websites
DataStructure_and_Algorithms_inPython
Data Structure in Python
Toxic_Comment_Classification
My Trial to tackle the Kaggle Toxic Comment Classification Competition
TalkingData_AdTracking_FraudDetection
A kaggle competition to predict whether a user will download an app after clicking a mobile app ad
Avito_Demand_Prediction
A basic model for the Avito Kaggle competion
House_Priceprediction
This is a Kaggle Competition that challenges you to predict the Sale Price value of houses based on a lot of numerical and categorical features
Sentiment_Model_Template
The ultimate template to build a Sentiment Model starting from Linear SVM to Word2Vec and GLove
deep-learning-models
Keras code and weights files for popular deep learning models.
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
Convolutional_neural_network
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
cs231n
My journey to ML understanding at the hands of the famed Andrej Karpathy
7_Research_Directions_Deep_Learning
This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube
allennlp
An open-source NLP research library, built on PyTorch.