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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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In this PySpark Project, you will learn to implement regression machine learning models in SparkMLlib.
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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
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In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
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In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.
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