Welcome to this video tutorial on Scikit-Learn. this video explains How We use the MinMaxScaler and linear Logistic Regression Model in a pipeline and use it on the Iris dataset.
Methods to load Toy Datasets and exploring their feature names, number of instances and other details have been shown. Also, which library to use when a data is in a particular format is also discussed. Lastly, fetching dataset from openml.org has been shown with an example.
Some important links for more info: