Alaa Khaled (@alaakh42)
github

alaakh42

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  • Stars
    star
    34
  • Global Rank 448,088 (Top 16 %)
  • Followers 20
  • Following 16
  • Registered almost 9 years ago
  • Most used languages
    Jupyter Notebook
         66.7 %
    Python
         33.3 %
  • Location 🇪🇬 Egypt
  • Country Total Rank 880
  • Country Ranking
    Jupyter Notebook
         145
    Python
         308

Top repositories

1

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
Python
4
star
2

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
Python
3
star
3

Sentiment_Model_Template

The ultimate template to build a Sentiment Model starting from Linear SVM to Word2Vec and GLove
Jupyter Notebook
2
star
4

twitter_account_crawling_using_selenium

A project of twitter accounts crawling using Selenium
Python
1
star
5

TalkingData_AdTracking_FraudDetection

A kaggle competition to predict whether a user will download an app after clicking a mobile app ad
Jupyter Notebook
1
star
6

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
Jupyter Notebook
1
star
7

NLP

Jupyter Notebook
1
star
8

Natural_Language_Processing

Jupyter Notebook
1
star
9

Taxi-driver-Arrival-Time-prediction

An attempt to solve the New York taxi arrival time prediction kaggle competition
Jupyter Notebook
1
star
10

Toxic_Comment_Classification

My Trial to tackle the Kaggle Toxic Comment Classification Competition
Jupyter Notebook
1
star
11

Data-Science-and-Machine-Learning

Beginner minimal data science and ML projects using Python libraries such as Scikit-learn, Pandas, and Matplotlib.
Python
1
star
12

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...)
Jupyter Notebook
1
star