Introduction
In this lab, we will explore Stochastic Gradient Descent (SGD), which is a powerful optimization algorithm commonly used in machine learning for solving large-scale and sparse problems. We will learn how to use the SGDClassifier and SGDRegressor classes from the scikit-learn library to train linear classifiers and regressors.
VM Tips
After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.
Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.
If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Skills Graph
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flowchart RL
sklearn(("`Sklearn`")) -.-> sklearn/CoreModelsandAlgorithmsGroup(["`Core Models and Algorithms`"])
sklearn(("`Sklearn`")) -.-> sklearn/DataPreprocessingandFeatureEngineeringGroup(["`Data Preprocessing and Feature Engineering`"])
sklearn(("`Sklearn`")) -.-> sklearn/ModelSelectionandEvaluationGroup(["`Model Selection and Evaluation`"])
sklearn(("`Sklearn`")) -.-> sklearn/UtilitiesandDatasetsGroup(["`Utilities and Datasets`"])
ml(("`Machine Learning`")) -.-> ml/FrameworkandSoftwareGroup(["`Framework and Software`"])
sklearn/CoreModelsandAlgorithmsGroup -.-> sklearn/linear_model("`Linear Models`")
sklearn/DataPreprocessingandFeatureEngineeringGroup -.-> sklearn/preprocessing("`Preprocessing and Normalization`")
sklearn/ModelSelectionandEvaluationGroup -.-> sklearn/model_selection("`Model Selection`")
sklearn/ModelSelectionandEvaluationGroup -.-> sklearn/metrics("`Metrics`")
sklearn/UtilitiesandDatasetsGroup -.-> sklearn/datasets("`Datasets`")
ml/FrameworkandSoftwareGroup -.-> ml/sklearn("`scikit-learn`")
subgraph Lab Skills
sklearn/linear_model -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
sklearn/preprocessing -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
sklearn/model_selection -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
sklearn/metrics -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
sklearn/datasets -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
ml/sklearn -.-> lab-71100{{"`Exploring Scikit-Learn SGD Classifiers`"}}
end