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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Hive and Cassandra
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COVID-19 Data Analysis Project using Python and AWS to build an automated data pipeline that processes COVID-19 data from Johns Hopkins University and generates interactive dashboards to provide insights into the pandemic for public health officials, researchers, and the general public.
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In this Kubernetes Big Data Project, you will automate and deploy an application using Docker, Google Kubernetes Engine (GKE), and Google Cloud Functions.
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The goal of the BigMart Sales Prediction ML project is to build and evaluate different predictive models and determine the sales of each product at a store.
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In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
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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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A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
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