The reference textbook in these tutorials is below and it can be accessed here.
It is a short introductory tutorial that provides a bird's eye view using a binary classification problem as an example and it is actually is a simplified version of the tutorial SK Part 1. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the.
This is the first in a series of tutorials on supervised machine learning with Python and Scikit-Learn. 1) scikit learn scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
