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B A D G E
Core Cloud Services ‐ Introduction to
Azure
Completed on 12/17/2018
B A D G E
Cloud Concepts ‐ Principles of cloud
computing
Completed on 12/17/2018
B A D G E
Core Cloud Services ‐ Azure compute
options
Completed on 12/17/2018
B A D G E
Core Cloud Services ‐ Azure data
storage options
Completed on 12/17/2018
B A D G E
Core Cloud Services ‐ Azure networking
options
Completed on 12/17/2018
B A D G E
Security, responsibility, and trust in
Azure
Completed on 12/17/2018
B A D G E
Create an Azure Cosmos DB database
built to scale
Completed on 12/18/2018
B A D G E
Insert and query data in your Azure
Cosmos DB database
Completed on 12/18/2018
B A D G E
Build a .NET Core app for Azure Cosmos
DB in Visual Studio Code
Completed on 12/18/2018
B A D G E
Distribute your data globally with Azure
Cosmos DB
Completed on 12/18/2018
B A D G E
Interactive deep learning with Jupyter,
Docker and PyTorch on the Data
Science Virtual Machine
Completed on 12/19/2018
B A D G E
Align requirements with cloud types
and service models in Azure
Completed on 12/20/2018
B A D G E
Control Azure services with the CLI
Completed on 12/20/2018
$_
B A D G E
Automate Azure tasks using scripts with
PowerShell
Completed on 12/20/2018
B A D G E
Predict costs and optimize spending for
Azure
Completed on 12/20/2018
B A D G E
Control and organize Azure resources
with Azure Resource Manager
Completed on 12/21/2018
B A D G E
Introduction to Azure virtual machines
Completed on 12/22/2018
B A D G E
Introduction to the Azure Machine
Learning SDK
Completed on 10/17/2020
B A D G E
Train a machine learning model with
Azure Machine Learning
Completed on 10/18/2020
B A D G E
Work with Data in Azure Machine
Learning
Completed on 10/18/2020
B A D G E
Work with Compute in Azure Machine
Learning
Completed on 10/18/2020
B A D G E
Orchestrate machine learning with
pipelines
Completed on 10/18/2020
B A D G E
Deploy real‐time machine learning
services with Azure Machine Learning
Completed on 10/18/2020
B A D G E
Deploy batch inference pipelines with
Azure Machine Learning
Completed on 10/18/2020
B A D G E
Tune hyperparameters with Azure
Machine Learning
Completed on 10/18/2020
B A D G E
Automate machine learning model
selection with Azure Machine Learning
Completed on 10/18/2020
B A D G E
Explain machine learning models with
Azure Machine Learning
Completed on 10/18/2020

B A D G E
Detect and mitigate unfairness in
models with Azure Machine Learning
Completed on 10/18/2020
B A D G E
Monitor models with Azure Machine
Learning
Completed on 10/18/2020
B A D G E
Monitor data drift with Azure Machine
Learning
Completed on 10/18/2020
B A D G E
Use automated machine learning in
Azure Machine Learning
Completed on 10/23/2020
B A D G E
Create a Regression Model with Azure
Machine Learning designer
Completed on 10/24/2020
B A D G E
Create a classification model with Azure
Machine Learning designer
Completed on 10/24/2020
B A D G E
Create a Clustering Model with Azure
Machine Learning designer
Completed on 10/24/2020
B A D G E
Explore and analyze data with Python
Completed on 10/24/2020
B A D G E
Train and evaluate regression models
Completed on 10/24/2020
B A D G E
Train and evaluate classification models
Completed on 10/24/2020
B A D G E
Train and evaluate clustering models
Completed on 10/24/2020
B A D G E
Train and evaluate deep learning
models
Completed on 10/24/2020
B A D G E
Describe Azure Databricks
Completed on 10/24/2020
B A D G E
Spark architecture fundamentals
Completed on 10/24/2020
B A D G E
Read and write data in Azure Databricks
Completed on 10/25/2020
B A D G E
Work with DataFrames in Azure
Databricks
Completed on 10/25/2020
B A D G E
Work with user‐defined functions
Completed on 10/25/2020
B A D G E
Build and query a Delta Lake
Completed on 10/25/2020
B A D G E
Perform machine learning with Azure
Databricks
Completed on 10/25/2020
B A D G E
Train a machine learning model
Completed on 10/25/2020
B A D G E
Work with MLflow in Azure Databricks
Completed on 10/25/2020
B A D G E
Perform model selection with
hyperparameter tuning
Completed on 10/25/2020
B A D G E
Deep learning with Horovod for
distributed training
Completed on 10/25/2020
B A D G E
Work with Azure Machine Learning to
deploy serving models
Completed on 10/25/2020
B A D G E
Learn the data science method
Completed on 10/25/2020
B A D G E
Introduction to Python using the
datascience library
Completed on 10/25/2020
B A D G E
Create and manipulate tables using the
datascience library
Completed on 10/26/2020
B A D G E
Design and plot graphs in Python
Completed on 10/26/2020
B A D G E
Introduction to probability
Completed on 10/26/2020
B A D G E
Simulate and generate empirical
distributions in Python
Completed on 10/27/2020
 English ﴾United States﴿ Previous Version Docs Blog Contribute Privacy & Cookies Terms of Use Site Feedback Trademarks © Microsoft 2020
Trophies
B A D G E
Test hypothesis by simulating statistics
Completed on 10/27/2020
B A D G E
Compare two samples by bootstrapping
Completed on 10/28/2020
B A D G E
Understand the normal curve
Completed on 10/28/2020
B A D G E
Make predictions with linear regression
Completed on 10/28/2020
B A D G E
Simulate the distribution of regression
coefficients
Completed on 10/28/2020
B A D G E
Predict classes with a knn classifier
Completed on 10/29/2020
T R O P H Y
Azure fundamentals
Completed on 12/17/2018
T R O P H Y
Work with NoSQL data in Azure
Cosmos DB
Completed on 12/18/2018
T R O P H Y
Manage resources in Azure
Completed on 12/20/2018
T R O P H Y
Build AI solutions with Azure Machine
Learning
Completed on 10/18/2020
T R O P H Y
Create no‐code predictive models with
Azure Machine Learning
Completed on 10/24/2020
T R O P H Y
Create machine learning models
Completed on 10/24/2020
T R O P H Y
Perform data science with Azure
Databricks
Completed on 10/25/2020
T R O P H Y
Foundations of data science
Completed on 10/29/2020
0 Theme

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Microsoft_achievements_vijaymohire

  • 1. Docs Documentation Learn Q&A Code Samples Search BadgesOverview Activity Challenges Bookmarks Collections Following Achievements Settings B A D G E Core Cloud Services ‐ Introduction to Azure Completed on 12/17/2018 B A D G E Cloud Concepts ‐ Principles of cloud computing Completed on 12/17/2018 B A D G E Core Cloud Services ‐ Azure compute options Completed on 12/17/2018 B A D G E Core Cloud Services ‐ Azure data storage options Completed on 12/17/2018 B A D G E Core Cloud Services ‐ Azure networking options Completed on 12/17/2018 B A D G E Security, responsibility, and trust in Azure Completed on 12/17/2018 B A D G E Create an Azure Cosmos DB database built to scale Completed on 12/18/2018 B A D G E Insert and query data in your Azure Cosmos DB database Completed on 12/18/2018 B A D G E Build a .NET Core app for Azure Cosmos DB in Visual Studio Code Completed on 12/18/2018 B A D G E Distribute your data globally with Azure Cosmos DB Completed on 12/18/2018 B A D G E Interactive deep learning with Jupyter, Docker and PyTorch on the Data Science Virtual Machine Completed on 12/19/2018 B A D G E Align requirements with cloud types and service models in Azure Completed on 12/20/2018 B A D G E Control Azure services with the CLI Completed on 12/20/2018 $_ B A D G E Automate Azure tasks using scripts with PowerShell Completed on 12/20/2018 B A D G E Predict costs and optimize spending for Azure Completed on 12/20/2018 B A D G E Control and organize Azure resources with Azure Resource Manager Completed on 12/21/2018 B A D G E Introduction to Azure virtual machines Completed on 12/22/2018 B A D G E Introduction to the Azure Machine Learning SDK Completed on 10/17/2020 B A D G E Train a machine learning model with Azure Machine Learning Completed on 10/18/2020 B A D G E Work with Data in Azure Machine Learning Completed on 10/18/2020 B A D G E Work with Compute in Azure Machine Learning Completed on 10/18/2020 B A D G E Orchestrate machine learning with pipelines Completed on 10/18/2020 B A D G E Deploy real‐time machine learning services with Azure Machine Learning Completed on 10/18/2020 B A D G E Deploy batch inference pipelines with Azure Machine Learning Completed on 10/18/2020 B A D G E Tune hyperparameters with Azure Machine Learning Completed on 10/18/2020 B A D G E Automate machine learning model selection with Azure Machine Learning Completed on 10/18/2020 B A D G E Explain machine learning models with Azure Machine Learning Completed on 10/18/2020 
  • 2. B A D G E Detect and mitigate unfairness in models with Azure Machine Learning Completed on 10/18/2020 B A D G E Monitor models with Azure Machine Learning Completed on 10/18/2020 B A D G E Monitor data drift with Azure Machine Learning Completed on 10/18/2020 B A D G E Use automated machine learning in Azure Machine Learning Completed on 10/23/2020 B A D G E Create a Regression Model with Azure Machine Learning designer Completed on 10/24/2020 B A D G E Create a classification model with Azure Machine Learning designer Completed on 10/24/2020 B A D G E Create a Clustering Model with Azure Machine Learning designer Completed on 10/24/2020 B A D G E Explore and analyze data with Python Completed on 10/24/2020 B A D G E Train and evaluate regression models Completed on 10/24/2020 B A D G E Train and evaluate classification models Completed on 10/24/2020 B A D G E Train and evaluate clustering models Completed on 10/24/2020 B A D G E Train and evaluate deep learning models Completed on 10/24/2020 B A D G E Describe Azure Databricks Completed on 10/24/2020 B A D G E Spark architecture fundamentals Completed on 10/24/2020 B A D G E Read and write data in Azure Databricks Completed on 10/25/2020 B A D G E Work with DataFrames in Azure Databricks Completed on 10/25/2020 B A D G E Work with user‐defined functions Completed on 10/25/2020 B A D G E Build and query a Delta Lake Completed on 10/25/2020 B A D G E Perform machine learning with Azure Databricks Completed on 10/25/2020 B A D G E Train a machine learning model Completed on 10/25/2020 B A D G E Work with MLflow in Azure Databricks Completed on 10/25/2020 B A D G E Perform model selection with hyperparameter tuning Completed on 10/25/2020 B A D G E Deep learning with Horovod for distributed training Completed on 10/25/2020 B A D G E Work with Azure Machine Learning to deploy serving models Completed on 10/25/2020 B A D G E Learn the data science method Completed on 10/25/2020 B A D G E Introduction to Python using the datascience library Completed on 10/25/2020 B A D G E Create and manipulate tables using the datascience library Completed on 10/26/2020 B A D G E Design and plot graphs in Python Completed on 10/26/2020 B A D G E Introduction to probability Completed on 10/26/2020 B A D G E Simulate and generate empirical distributions in Python Completed on 10/27/2020
  • 3.  English ﴾United States﴿ Previous Version Docs Blog Contribute Privacy & Cookies Terms of Use Site Feedback Trademarks © Microsoft 2020 Trophies B A D G E Test hypothesis by simulating statistics Completed on 10/27/2020 B A D G E Compare two samples by bootstrapping Completed on 10/28/2020 B A D G E Understand the normal curve Completed on 10/28/2020 B A D G E Make predictions with linear regression Completed on 10/28/2020 B A D G E Simulate the distribution of regression coefficients Completed on 10/28/2020 B A D G E Predict classes with a knn classifier Completed on 10/29/2020 T R O P H Y Azure fundamentals Completed on 12/17/2018 T R O P H Y Work with NoSQL data in Azure Cosmos DB Completed on 12/18/2018 T R O P H Y Manage resources in Azure Completed on 12/20/2018 T R O P H Y Build AI solutions with Azure Machine Learning Completed on 10/18/2020 T R O P H Y Create no‐code predictive models with Azure Machine Learning Completed on 10/24/2020 T R O P H Y Create machine learning models Completed on 10/24/2020 T R O P H Y Perform data science with Azure Databricks Completed on 10/25/2020 T R O P H Y Foundations of data science Completed on 10/29/2020 0 Theme