Data Science
Showing 1189–1200 of 1255 results
Understanding Python Sentiment Analysis Methodology
This Free Online Course Includes: 1.5-3Â Hours of Learning CPD Accreditation Final Assessment
Understanding Series Index and Values in pandas
In this course, you will learn about Series, DataFrames, and indexes in pandas to help you efficiently manipulate and analyze data.
Unsupervised Learning
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning.
Use an Azure Machine Learning job for automation
Learn how to take your machine learning model from experimentation to production by using Azure Machine Learning jobs.
Use Apache Spark in Microsoft Fabric
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.
Use AutoML in Azure Databricks
AutoML in Azure Databricks simplifies the process of building an effective machine learning model for your data.
Use basketball stats to optimize game play with Visual Studio Code, inspired by SPACE JAM: A NEW LEGACY
Inspired by the new film Space Jam: A New Legacy, this learning path shows basketball fans how an understanding of data science and coding can support their passions, create opportunities, and even open doors to possible careers. Develop skills in Visual Studio Code, Azure, GitHub, JavaScript, and Python, to gain insights into how individual moments throughout a player's history can lead to a critical game decision in the finals.
Use built-in functions and GROUP BY in Transact-SQL
Learn how to use functions in Transact-SQL, and how to group aggregated results.
Use Data Factory pipelines in Microsoft Fabric
Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.
Use DAX time intelligence functions in Power BI Desktop models
By the end of this module, you'll learn the meaning of time intelligence and how to add time intelligence DAX calculations to your model.
Use MLflow in Azure Databricks
MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.
Use MLflow with Azure Machine Learning jobs submitted with CLI (v2)
Use MLflow to track model metrics and artifacts when training and registering models with the Azure Machine Learning CLI (v2).