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[FSTORE-1437] Hospital Wait Time Tutorial (#272)
* hospital waiting time forecasting tutorial
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README.md

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@@ -48,6 +48,7 @@ In order to understand the tutorials you need to be familiar with general concep
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- [Credit Scores](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/credit_scores): Predict clients' repayment abilities.
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- [Electricity](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/electricity): Predict the electricity prices in several Swedish cities based on weather conditions, previous prices, and Swedish holidays.
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- [NYC Taxi Fares](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/nyc_taxi_fares): Predict the fare amount for a taxi ride in New York City given the pickup and dropoff locations.
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- [Hospital Wait Time](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/hospital_wait_time): Predict the waiting time for a deceased donor kidney using Prophet model.
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- [Recommender System](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/recommender-system): Build a recommender system for fashion items.
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- [TimeSeries](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/timeseries): Timeseries price prediction.
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- [LLM PDF](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/llm_pdfs): An AI assistant that utilizes a Retrieval-Augmented Generation (RAG) system to provide accurate answers to user questions by retrieving relevant context from PDF documents.

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