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I used different standard datasets, including the iris flower and breast cancer dataset.  \n\nI was able to get a basic exposure to the scikit-learn library and also learn about different performance metrics, including MAE, MSE, RMSE, Coefficient of Determination, the Confusion Matrix, and more. \n\nML methods I was able to familiarize with: \n* Linear Regression\n* Logistic Regression\n* Lasso, Ridge, Elastic Net Regression and GLM \n* KNN\n* Naive Bayes\n* SVM\n* Random Froest and Gradient Descent \n\n![histplot_iris_flowers](https://user-images.githubusercontent.com/71875232/211586414-80ce8418-a5cf-4dea-842d-958c6f0ff4f6.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkathrin-92%2Fexploring-supervised-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkathrin-92%2Fexploring-supervised-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkathrin-92%2Fexploring-supervised-learning/lists"}