Data is been analyzed using Logistics, KNN and Naïve Bayes algorithms and then result is presented in the form of visulization.
➤ Iris, Diabetes and Spam Email Data Sets
- Data set:Iris,Diabetes and Spam Email Classification
- Using the prescriptive method of conducting classification problems, create one Python notebook that classifies this data set utilizing multiple classification models.
Topics:Overfitting, Principal Components Analysis (PCA),cross-validation,K Nearest Neighbors (KNN), Naive Bayes, Logistic Regression