Alternatives and similar repositories for glassdoor-analysis

Users that are interested in glassdoor-analysis are comparing it to the libraries listed below

• cchauser / Twitter-real-time-sentiment-analysis
  Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.
  ☆14Updated 4 years ago
• prateekjoshi565 / topic_modeling_online_reviews
  ☆33Updated 6 years ago
• laxmimerit / NLP-Tutorial-8---Sentiment-Classification-using-SpaCy-for-IMDB-and-Amazon-Review-Dataset
  NLP Tutorial 8 - Sentiment Classification using SpaCy for IMDB and Amazon Review Dataset
  ☆21Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• yuanyuanshi / Data_Skills
  Web scraper for indeed job search to reveal the data scientist required skills keywords
  ☆36Updated 8 years ago
• mattmurray / topic_modelling_financial_news
  Topic modelling on financial news with Natural Language Processing
  ☆59Updated 7 years ago
• Jcharis / NLP-Web-Apps
  Natural Language Processing Web Apps
  ☆42Updated 6 years ago
• rsreetech / CustomNERwithspaCy
  ☆21Updated 3 years ago
• gabrieltseng / datascience-projects
  A collection of personal data science projects
  ☆57Updated last year
• RamkishanPanthena / Startup-Success-Prediction
  An interactive machine learning and data visualization project
  ☆40Updated 6 years ago
• duyet / skill2vec
  Skill Representations in Vector Space
  ☆34Updated last year
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 7 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• mhbuehler / resume-optimizer
  NLP tool for optimizing a resume for a job description, computing similarity, and extracting skills
  ☆16Updated 7 years ago
• lulu150003 / Web-Scraping-Project
  Web scraping LinkedIn profiles - Uber employees
  ☆21Updated 5 years ago
• justinng1 / berka
  ☆27Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 years ago
• Cheukting / fuzzy-match-company-name
  demo using FuzzyWuzzy matching company names
  ☆75Updated 3 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• njfritter / myersBriggsNLPAnalysis
  Natural Language Processing project in tweets labeled by Myers Briggs Personality Type
  ☆16Updated 6 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆16Updated 5 years ago
• Mogbo / Customer-Clustering-Segmentation-Challenge
  My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …
  ☆13Updated 7 years ago
• MarwaEshra / Create-Interactive-Dashboards-with-Streamlit-and-Python
  Create Interactive Dashboards with Streamlit and Python Coursera
  ☆10Updated 4 years ago
• susanli2016 / Natural-Language-Processing-in-TensorFlow
  ☆17Updated 5 years ago
• jeremygrace / amazon-reviews
  Sentiment Analysis & Topic Modeling with Amazon Reviews
  ☆32Updated 8 years ago
• jalajthanaki / POS-tag-workshop
  Understanding of POS tags and build a POS tagger from scratch
  ☆11Updated 6 years ago
• glopasso / text-summarization
  Text summarization algorithm for the Capstone Project at Springboard code bootcamp
  ☆54Updated 2 years ago
• analyticsvidhya / wns-analytics-wizard-2018
  Winners solutions for [WNS Analytics Wizard 2018](https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018/)
  ☆25Updated 6 years ago
• vi3k6i5 / learning_ml
  I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.
  ☆23Updated 7 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆46Updated 7 years ago