My Learning Space
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Azure Machine Learning Experiment Using Python
Azure ML studio provides 3 artifacts for conducting machine learning experiments. Notebooks Automated ML Designer In this article, we will see how we can use notebooks to build a machine learning experiment. From Azure ML studio, Click on Start now button on the...
Evaluating Azure Machine Learning Results
Evaluating Azure ML Regression Results. In the earlier article, we used Azure ML Designer to build a regression model. The final output of the regression model is few metrics which we use to understand how good our regression model is. There are two steps of interest...
Machine learning with Azure ML Designer
Azure machine learning studio provides an easy-to-use interface for data scientists and developers to build train and productionise machine learning models. Another major benefit it provides is the ease of collaboration and In this article, we will explore how to...
Azure Machine Learning Pipelines
Azure machine learning pipelines are workflows of executable steps that enable users to complete Machine Learning workflows. Executable steps in azure pipelines include data import, transformation, feature engineering, model training, model optimisation, deployment...
Introduction to Azure Databricks
Databricks is a cloud-based data engineering tool used for data transformation and data exploration through machine learning models. Azure Databricks is Microsoft Azure Platform’s implementation of Databricks. Evolution of Databirkcs : A short timeline of evolution...
Data Modeling in Power BI
PowerBI provides a handful of features for building robust data models. Here are a few concepts to begin modeling data in PowerBI : Fact tables & Dimensions tables: In its simplest form, a data model design will consist of the following: Fact table: Also...