Salam thabet (SalamThabet)

SalamThabet

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Company:Islamic university

Location:Palestine - gaza

Twitter:@salamThabetDo

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Salam thabet's repositories

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

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Arabic-Offensive-Multi-Platform-SocialMedia-Comment-Dataset

Arabic Dialectal Offensive Language dataset from social media comments on news post from facebook, twitter and youtube platforms

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awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

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A6MessageEncoder

Problem Statement Create an interface MessageEncoder that has a single abstract method encode(plainText), where plainText is the message to be encoded. The method will return the encoded message. Create a class SubstitutionCipher that implements the interface MessageEncoder, as described above. The constructor should have one parameter called shift. Define the method encode so that each letter is shifted by the value in shift. Defne the method encode so that each letter is shifted by the value in shift. For example, if shift is 3, a will be replaced by d, b will be replaced by e, c will be replaced by f, and so on. (Hint: You may wish to define a private method that shifts a single character.) Create a class ShuffleCipher that implements the interface MessageEncoder, as described above. The constructor should have one parameter called n. Define the method encode so that the message is shuffled n times. To perform one shuffle, split the message in half and then take characters from each half alternately. For example, if the message is abcdefghi, the halves are abcde and fghi. The shuffled message is afbgchdie. (Hint: You may wish to define a private method that performs one shuffle.)

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Arabic_hatespeech

Religious Hate Speech Detection for Arabic Tweets

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ARBML

Implementation of many Arabic NLP and ML projects. Providing real time experience using many interfaces like web, command line and notebooks.

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BLEU

Implement the BLEU metric of machine translation.

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camel_tools

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

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docs

TensorFlow documentation

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facets

Visualizations for machine learning datasets

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GetOldTweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

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hatespeechdata

Hate speech data

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LandingPageUsingBootstrap4

Landing Page Using Bootstrap 4

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learnpress

LearnPress WordPress LMS Plugin by ThimPress

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MLMA_hate_speech

Dataset and code of our EMNLP 2019 paper "Multilingual and Multi-Aspect Hate Speech Analysis"

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OffensEval2020

OffensEval2020 Shared Task

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Offensive-Language-Detection

NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.

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profanityfilter

A universal Python library for detecting and filtering profanity

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T-HSAB-A-Tunisian-Hate-Speech-and-Abusive-Dataset

The first Tunisian Hate Speech and Abusive Dataset

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twitter_sentiment_analysis

A guide for binary class sentiment analysis of tweets.

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what-if-tool

Source code/webpage/demos for the What-If Tool

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