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In this Microsoft Azure Project, you will learn how to create delta live tables in Azure Databricks.
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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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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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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, incorporating Hopsworks' feature store and Weights and Biases for model experimentation.
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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 Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.
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