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In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
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In this PySpark Big Data Project, you will gain hands-on experience working with advanced functionalities of PySpark Dataframes and Performance Optimization.
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Deep Learning for Time Series Forecasting in Python -A Hands-On Approach to Build Deep Learning Models (MLP, CNN, LSTM, and a Hybrid Model CNN-LSTM) on Time Series Data.
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In this Time Series Project, you will predict the failure of elevators using IoT sensor data as a time series classification machine learning problem.
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To build a predictive model for churn in the Telecom industry with a feedback loop to help maintain the quality of results
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Feature Scaling in Machine Learning: The What, When, and Why
Enhance your knowledge of feature scaling in machine learning to refine algorithms, learn to use Python to implement feature scaling, and much more!
20+ Natural Language Processing Datasets for Your Next Project
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Generative AI Application Landscape: All That You Need to Know
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