yuyuhan0306 / Yelp_CRM_NLPLinks
Digged into negative reviews, conducted NLP techniques such as sentiment analysis, text processing, n-gram modeling and then created a real-time response chatbot to improve customer relationship management system.
☆13Updated 8 years ago
Alternatives and similar repositories for Yelp_CRM_NLP
Users that are interested in Yelp_CRM_NLP are comparing it to the libraries listed below
Sorting:
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- This repo holds all the content for the Machine Learning training day☆25Updated 3 years ago
- Work for Mastering Large Datasets with Python☆20Updated 2 years ago
- ☆39Updated 8 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago
- Data Science for Good Projects☆50Updated 7 years ago
- R based marketing attribution and basic budget optimization using Markov Chains☆52Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- An analysis of 93,000+ data science freelancers☆57Updated 9 years ago
- ☆26Updated 9 years ago
- Applying Facebook's prophet on Google Analytics data☆30Updated 7 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's …☆18Updated 6 years ago
- ☆26Updated 6 years ago
- The repository for the course in Udemy☆16Updated 6 years ago
- Price analytics solution based on the double-machine-learning modeling approach☆37Updated 2 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 6 years ago
- Codes related to Knocktober 2016☆23Updated 9 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 8 years ago
- A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model☆35Updated 12 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Data☆20Updated 8 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated last year
- ☆18Updated 6 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- A collection of functions and step-by-step examples for marketing analytics☆33Updated 9 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago