This Professional Certificate is tailored for data scientists proficient in Python and machine learning frameworks, aiming to develop and deploy machine learning solutions on Microsoft Azure. The comprehensive program covers managing Azure resources, running experiments, training models, and implementing ethical machine learning. It also delves into using Azure Databricks for data exploration, preparation, and modeling, integrating it with Azure Machine Learning.
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Get ready to create machine learning models, utilize Azure Machine Learning, build and operate machine learning solutions, perform data science with Azure Databricks, and prepare for the DP-100 exam in Microsoft Azure Data Scientist Associate course.
Learn to plan and set up a data science environment on Azure, run data experiments, and train predictive models.
Identify various machine learning models, use Azure Machine Learning's automated capability, create regression, classification, and clustering models, and publish models without coding.
Discover how to use Azure Machine Learning Python SDK, work with data and computer in Azure Machine Learning, train and protect models, and deploy real-time machine learning services.
Explore the power of Apache Spark and Azure Databricks for data science workloads, machine learning, working with DataFrames and Delta Lake, and utilizing the Apache Spark notebook.
Outline key points covered in the Data Science on Microsoft Azure Exam course, describe best practices for preparing for Exam DP-100, and demonstrate proficiency in the skills measured in the exam.
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