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FAQs about Microsoft Scikit Learn $115,000 jobs - Indeed Coupon?

How do I enable performance optimizations in scikit-learn?

main() If you have installed Intel® Extension for Scikit-Learn (as demonstrated in the previous section), you can enable the performance optimizations by adding the two lines of code to the top of the script file, as shown below. To learn more about Intel® Extension for Scikit-Learn, visit the package's documentation. ...

How can I improve the accuracy of my scikit-learn model?

Now that you've seen how to do a simple Scikit-learn training run using the SDK, let's see if you can further improve the accuracy of your model. You can tune and optimize our model's hyperparameters using Azure Machine Learning's sweep capabilities. ...

How do I run a machine learning job on a Jupyter Notebook?

Your Jupyter notebook server. Install the Azure Machine Learning SDK (v2). This section sets up the job for training by loading the required Python packages, connecting to a workspace, creating a compute resource to run a command job, and creating an environment to run the job. First, you need to connect to your Azure Machine Learning workspace. ...

How do I use sklearn in Azure Machine Learning?

Select the notebook tab in the Azure Machine Learning studio. In the samples training folder, find a completed and expanded notebook by navigating to this directory: v2 > sdk > jobs > single-step > scikit-learn > train-hyperparameter-tune-deploy-with-sklearn. You can use the prepopulated code in the sample training folder to complete this tutorial. ...