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Deploy an Auto-Reply Twitter Handle that replies to query-related tweets with a trackable ticket ID generated based on the query category predicted using LSTM deep learning model.
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In this SQL Project for Data Analysis, you will learn to efficiently write queries using WITH clause and analyse data using SQL Aggregate Functions and various other operators like EXISTS, HAVING.
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In this Python and MongoDB Project for Beginners, you will learn how to use Apache Sedona and perform advanced analysis on the Transportation dataset.
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FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.
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In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
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Collaborative Filtering Recommender System Project - Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.
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