Category Archives for DP-100
DevOps for Data Science
โ๏ธDevOps is a set of practices that combines software development (Dev) and IT operations (Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary to Agile software development. โ๏ธData Science is a discipline relying on data availability, while business analytics does not completely rely […]
Read More
Machine Learning Algorithms & Use Cases
This blog post- https://k21academy.com/dp10029 will cover the concepts of Machine Learning Algorithms & Use Cases in which we have covered the concepts of Machine Learning Algorithms and their use cases. This blog will help you to get started with Design & Implement a Data Science Solution on Azure [DP-100] Certification. ๐๐ช๐ต๐ฎ๐ ๐๐ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด? โถMachine […]
Read More
๐๐๐ฒ๐ฌ ๐๐จ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐๐๐ฅ ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐
The blog post – https://k21academy.com/dp10028 will get an overview of ๐๐๐ฒ๐ฌ ๐๐จ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐๐๐ฅ ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ โฝ The ๐ ๐จ๐๐ฅ of a Machine Learning Model is to find out patterns that generalize well on unseen information rather than simply memorizing the information that it had been trained on. โฝ Once your ๐ฆ๐จ๐๐๐ฅ is prepared, youโd […]
Read More
๐๐ณ๐ฎ๐ซ๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ: ๐๐จ๐ซ๐ค๐ข๐ง๐ , ๐ ๐๐๐ญ๐ฎ๐ซ๐๐ฌ & ๐๐ฌ๐-๐๐๐ฌ๐๐ฌ
โฝ ๐๐ก๐๐ญ ๐๐ฌ ๐๐ณ๐ฎ๐ซ๐ ๐๐จ๐ง๐ข๐ญ๐จ๐ซ? Azure Monitor is that the native observation resolution for Azure, and after we are exploiting Azure or doing something, itโs a gift within the background assembling information for you. Metrics and logs area unit collected by Azure monitor from all of your Azure resources and accustomed produce alerts, monitor, troubleshoot […]
Read More
Azure Application Insights: Working, Features & Use-Cases
This blog post- https://k21academy.com/dp10027 will get an overview of Azure Application Insights: Working, Features & Use-Cases. What Is Azure Monitor? Azure Monitor is that the native observation resolution for Azure, and after we are exploiting Azure or doing something, itโs a gift within the background assembling information for you. Metrics and logs area unit collected […]
Read More
[DP-100] Design & Implement a Data Science Solution on Azure Training Day 3 FAQโs
Data is a fundamental element in any machine learning workload. Here, you will learn how to create and manage datastores and datasets in an Azure Machine Learning workspace, and how to use them in model training experiments. To know more, read this blog at k21academy.com/dp10026 whichย will cover the Q/Aโs from Day 3 of Design & […]
Read More
[DP-100] Design & Implement a Data Science Solution on Azure Training Day 2 FAQโs
This blog post-ย https://k21academy.com/dp10025ย will cover the Q/Aโs from Day 2 of Design & Implement a Data Science Solution on Azure [DP-100] in which we have covered Module 2: No-Code Machine Learning with Designer and Module 3 : Run Experiments FAQs. This blog will help you to get started with Design & Implement a Data Science Solution […]
Read More
[DP-100] Design & Implement a Data Science Solution on Azure Training Day 1 FAQโs
This blog post- k21academy.com/dp10024 will cover the Q/Aโs from Day 1 of Design & Implement a Data Science Solution on Azure [DP-100] in which we have covered Module 1: Getting Started with Azure Machine Learning, and Module 2: No-Code Machine Learning (Auto ML) FAQs. This blog will help you to get started with Design & […]
Read More
Microsoft Azure Data Scientist DP-100 FAQ
Do you also have such questions in mind or are confused about the DP-100 Microsoft Azure Data Scientist Associate certification? 1. What is the difference between Data Science and Data Engineering? 2. How is Data Science different from Azure Data Science? 3. Is python required to prepare for DP-100 certification? Then you have landed at […]
Read More
Hyperparameter Tuning In Azure
In machine learning, models are trained to predict unknown labels for new data based on correlations between known labels and features found in the training data. Depending on the algorithm used, you may need to specify hyperparameters to configure how the model is trained. Want to know more about Hyperparameters and how to tune them […]
Read More