Breast Cancer Diagnosis with SVM in Python
Load the Breast Cancer Wisconsin dataset, train an SVM classifier, and visualize PCA-reduced decision regions using an AI data analyst.
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Ready-to-run examples generated from notebook workflows.
Load the Breast Cancer Wisconsin dataset, train an SVM classifier, and visualize PCA-reduced decision regions using an AI data analyst.
Open analysis →Load the Iris dataset from scikit-learn, create a seaborn feature pairplot, and explore species separation patterns using an AI data analyst.
Open analysis →Train a decision tree classifier on the Iris dataset, evaluate accuracy, and visualize the decision boundaries using an AI data analyst.
Open analysis →Explore the Wine Quality dataset with distribution plots, correlation analysis, and quality score breakdown using an AI data analyst.
Open analysis →Analyze the Telco Customer Churn dataset, engineer features, train a random forest classifier, and identify top churn drivers.
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