[DP-100] Azure Data Scientist - Predicting Diabetes using Machine Learning | Azure Machine Learning | K21Academy

𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐅𝐑𝐄𝐄 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐨𝐧 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 [𝐃𝐏-𝟏𝟎𝟎] 𝐛𝐲 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐡𝐞𝐫𝐞 https://visit.k21academy.com/zyp ☁️ 𝐀𝐳𝐮𝐫𝐞 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 is a Machine Learning service ⚙️ that helps to build and deploy 🚀 models faster. These models are built and trained in Azure Machine Learning Studio 🖥. ➤ 𝐀𝐳𝐮𝐫𝐞 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞 is the top-level resource for Azure Machine Learning that provides a centralized place to work with all the artefacts you create when you use Azure Machine Learning. The workspace keeps a history of all training runs, including logs, metrics, output, and a snapshot of your scripts. You use this information to determine which training run produces the best model. ➤ 𝐀𝐳𝐮𝐫𝐞 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐭𝐮𝐝𝐢𝐨 is the web portal for data scientist developers in Azure Machine Learning which combines no-code and code-first experiences for an inclusive data science platform. ➤ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 𝐈𝐧𝐬𝐭𝐚𝐧𝐜𝐞: An Azure Machine Learning compute instance is a managed cloud-based workstation for data scientists. It makes it easier to get started with Azure Machine Learning development as well as provide management and enterprise readiness capabilities for IT administrators. Azure Machine Learning compute instance enables you to author, train, and deploy models in a fully integrated notebook experience in your workspace. ➤ 𝐃𝐚𝐭𝐚𝐬𝐞𝐭: A machine learning dataset makes it easy to access and work with your data. Several sample datasets are included in the designer for you to experiment with. You can register more datasets as you need them. ➤ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭: Azure Machine Learning includes an automated machine learning capability that leverages the scalability of cloud computing to automatically try multiple pre-processing techniques and model-training algorithms in parallel to find the best performing supervised machine learning model for your data. ➤ 𝐑𝐞𝐯𝐢𝐞𝐰 𝐭𝐡𝐞 𝐁𝐞𝐬𝐭 𝐌𝐨𝐝𝐞𝐥: After the experiment has finished you can review the best performing model that was generated for your model depending upon the features and algorithms specified by you while running the AutoML experiment. 🤔 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐀𝐳𝐮𝐫𝐞 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠? 𝐖𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐚𝐛𝐨𝐯𝐞 𝐯𝐢𝐝𝐞𝐨 𝐧𝐨𝐰 🚀 𝐖𝐡𝐞𝐫𝐞 𝐰𝐞 𝐜𝐨𝐯𝐞𝐫: 00:00 = Introduction 00:11 = Agenda 02:29 = Create an Azure Machine Learning workplace 04:01 = Explore Azure Machine Learning studio 05:03 = Create a compute instance 06:29 = Create dataset 08:43 = Run Automated Machine learning experiment 12:39 = Review the best model 16:29 = Deploy predictive service 17:45 = Test the Deployed Service 20:22 = Desingn and Implement Data Science on Azure [DP-100] 20:26 = FREE Class 20:35 = Learning Path for Microsoft Certified Azure Data Scientist Associate [DP-100] 20:49 = Registration Link for FREE Class 𝐀𝐥𝐬𝐨, 𝐝𝐨 𝐧𝐨𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐮𝐬 𝐨𝐧 𝐨𝐮𝐫 𝐅𝐑𝐄𝐄 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 https://telegram.me/k21microsoftazure, 𝐚𝐧𝐝 𝐛𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐭𝐨 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐧𝐞𝐰𝐬 𝐚𝐧𝐝 𝐮𝐩𝐝𝐚𝐭𝐞𝐬. 🤔 𝐃𝐨 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐋𝐞𝐭 𝐮𝐬 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐬𝐞𝐜𝐭𝐢𝐨𝐧 #microsoftazure #machinelearning #azureml #machinelearningstudio #azuremachinelearningstudio #azuremachinelearning #azureml #azuremachinelearningstudiotutorial #azuremlstudio #dataset #preparemldatasets #mldatasets #diabetes #azuremllifecycle #azuremachinelearningtutorial #machinelearningwithazure #modeldeployment #k21academy #askatul Subscribe us and know more about latest Cloud technology: https://k21academy.com/youtube --------------------------------------------------------------------------------------------------------------- LET'S CONNECT ON SOCIAL ↴ ➽ Facebook: https://k21academy.com/Facebook ➽ Linkedin:https://k21academy.com/linkedin ➽ Twitter: https://k21academy.com/twitter ➽ Instagram: https://k21academy.com/instagram See you next video!