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In this project we will explore the Cloud Services of GCP such as Cloud Storage, Cloud Engine and PubSub
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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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The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
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In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, addressing a major challenge in the logistics industry.
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Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
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Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.
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Understanding LLM Hallucinations and Preventing Them
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