ahmadabdelhameed Goto Github PK

personal_blog_laravel_livewire

personality-detection

Implementation of a hierarchical CNN based model to detect Big Five personality traits

php-cs-fixer

A tool to automatically fix PHP Coding Standards issues

php-desgin-pattern

php-exercises

Some tricky php exercises and interview questions

php-interview-exercises

Some exercises to practice whiteboard interview questions in PHP.

practical-web-scraping-for-data-science

Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens

programming-for-data-science-with-python-nanodegree

Programming-for-Data-Science-With-Python-Nanodegree

projects

🪐 End-to-end NLP workflows from prototype to production

python-deep-learning-projects

Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.

python-exercise---hacker-rank

python-machine-learning

Examples described in Python Machine Learning book and tested by me

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-programming-exercises

100+ Python challenging programming exercises

python_data_structure_and_algorithms

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

real_time_object_detection_using_tensorflow

code for real time object detection using TensorFlow and openCV

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

restfull_api_blog_laravel_passport

restfull_api_with_laravel

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

sail

Docker files for running a basic Laravel application.

sb-admin-dashboard

semeval2019-task3

Contextual Emotion Detection in Text

sentiment-analysis-arabic

A deep learning (LSTM) sentiment analysis project to determine positive/negative sentiment in Arabic social media content.

setup-docker-laravel

Setup Docker Laravel

short-messages-spam-filtering-combining-personality-recognition-and-sentiment-analysis

As social media is increasing and consumption of data is increasing there is a big increase in spam SMS. As an example, the people using SMS- capable are almost 6.1 billion another great example is the currently famous WhatsApp which has reached 1 billion users. Increase in such social activities has also given rise to more and more illegal activities. The current activities of SMS is carried mostly in Asia. About 20-30% of SMS traffic from China and India. That’s why this spam is an emerging problem in Asia. This growth is an open invitation for malicious organizations and more illegal activities are being carried out though this devices, many organization are arrested by the copes in many country for doing spam on people using attractive SMS with big offers and gifts, what we have done in this project is developed a model for filtering spam or ham SMS using sentiment analysis and personality recognition techniques. Spam is an irrelevant message also used for advertisement and marketing, spreading malware. The message must be filtered out so that such messages won’t disturb the privacy of the user. The main aim of the project is to sort the message using personality recognition and sentimental analysis combined. As previously only on the bases of sentiments the spams were filtered. Spam can be described as uninvited electronic messages sent in bulk to a group of receivers. The messages are characterized as electronic, unsolicited, commercial, mass constitutes a growing threat mainly due to the following factors: 1) the availability of low-cost bulk SMS plans; 2) reliability; 3) low chance of receiving responses from some unsuspecting receivers; and 4) the message can be personalized. Mobile SMS spam detection and prevention is an important matter. It has taken on a lot of issues and solutions inherited from relatively older scenarios of email spam detection and filtering. The main objective of this project is to analyse these-techniques in short instant message spam filtering and also the polarity and personality dimension can improve the results obtained previously. In these project, we focus on SMS messages, which are structurally similar to other instant short messages.

simple-php-website

An introductory example of how to build a simple and minimal website built with PHP.

soccer-database-analysis

spark-and-mllib-projects

This repository contains Spark, MLlib, PySpark and Dataframes projects