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Getting started with machine learning scikit-learn is an open-source Python library that implements a range of machine learning pre-processing cross-validation and visualization algorithms using a unified interface.
. It is a type of ensemble machine learning algorithm called Bootstrap Aggregation or bagging. Updated to reflect changes to the scikit-learn API in version 018. After reading this post you will know about.
Setting up the environment. In this article well see basics of Machine Learning and implementation of a simple machine learning algorithm using python. In this post you will discover the Bagging ensemble algorithm and the Random Forest algorithm for predictive modeling.
Important features of scikit-learn. In this article we will be using numpy scipy and scikit-learn modules. Random Forest is one of the most popular and most powerful machine learning algorithms.
Python community has developed many modules to help programmers implement machine learning. It features various classification regression.
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