TasneemAlgam

TasneemAlgam's Stars

• csaladenes/food-energy-flows

  Code behind the Food Energy Flows Exploratorium + Project Website

  Language:HTML82

• nicodjimenez/bus_catchers

  Python scripts for scraping bus ticket data from the websites of BoltBus, Greyhound, Megabus, GoBus, Amtrak, Peterpan, and EasternTravel.

  Language:Python3923

• clemfromspace/scrapy-selenium

  Scrapy middleware to handle javascript pages using selenium

  Language:Python921353

• scrapy-plugins/scrapy-splash

  Scrapy+Splash for JavaScript integration

  Language:Python3.1k450

• tryolabs/requestium

  Integration layer between Requests and Selenium for automation of web actions.

  Language:Python1.8k147

• econchick/new-coder

  New Coder tutorials

  Language:CSS597393

• aazirani/Python-Scraping-to-Database-Sample

  Some sample code examples in Python to scrape data from the web and saving it to a database.

  Language:Python3211

• korniichuk/brand24-api

  Python API for www.brand24.com Web Monitoring tool

  Language:Python92

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python30.1k4.4k

• cjhutto/bsd

  Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.

  Language:Python4720

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.4k1k

• praw-dev/praw

  PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.

  Language:Python3.5k458

• clips/pattern

  Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

  Language:Python8.7k1.6k

• Xinyi6/E-commerce-recommendation-system

  Recommender System； Collaborative Filtering；Content-Based Algorithm

  Language:Jupyter Notebook176

• DominikBialy/online-marketplace-scraper

  Online marketplace web scraper

  Language:Jupyter Notebook11

• KasumiL5x/Data-Science--Cheat-Sheet

  Cheat Sheets

  1

• KasumiL5x/book-recommendation-system

  A project to scrape data and build a recommendation system.

  Language:Jupyter Notebook63

• MatePocs/boardgame_recommendation

  Collaborative filtering recommendation system using individual user ratings data to recommend new items for individual users.

  Language:Jupyter Notebook189

• Deepakchawla/Mobile-Phone-Dataset-GSMArena

  Python script for creating Mobile Phones Dataset on GSMArena website.

  Language:Python5946

• arwinneil/phone-dataset

  GSMArena scraper for creating a Phone dataset 📊📱

  Language:C#1211

• fickaz/Recommendation-System

  Language:Jupyter Notebook1913

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1k

• lyst/lightfm

  A Python implementation of LightFM, a hybrid recommendation algorithm.

  Language:Python4.8k691

• llSourcell/recommender_live

  Language:Jupyter Notebook150123

• aayushmnit/Deep_learning_explorations

  Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

  Language:Jupyter Notebook157106

• vyashemang/popularity_based_recommendation

  This is popularity based songs recommendation system using the millions song data.

  Language:Jupyter Notebook410

• hustcc/timeago

  :hourglass: Simple library used to format datetime with `*** time ago` statement. eg: "3 hours ago".

  Language:Python22337

• hustcc/timeago.js

  :clock8: :hourglass: timeago.js is a tiny(2.0 kb) library used to format date with `*** time ago` statement.

  Language:TypeScript5.3k411

• fergalwalsh/pico

  Pico is a very small web application framework for Python.

  Language:Python18641

• superryeti/sentiment-analysis-with-pytorch-using-deep-learning

  sentiment analysis with pytorch using deep learning

  Language:Jupyter Notebook11