How many principal components are required to retain at least 95% of the total variance in the iris dataset?
How many principal components are required to retain at least 95% of the total variance in the iris dataset?: a task in SmolDataEnvs-harbor-train-sandbox: 📊 SmolDataEnvs: Harbor (train) (Harbor dataset). Files (in /home/user/input, no subfolders): - Iris.csv
The task
Files (in /home/user/input, no subfolders): - Iris.csv