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web-analytics

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retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

  • Updated Aug 11, 2021
  • Python

The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends, family, etc.) - 'When' denotes, for which part of the day the user dined in (example: lunch, dinner, etc.) - 'Where' denotes, whether the user is local or tourist - 'Occasion' denotes, for which particular occasion the user visited (example: birthday, wedding anniversary, etc.)

  • Updated Jan 7, 2018
  • Python

The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends,…

  • Updated Feb 19, 2018
  • Python

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