( Python Training : https://www.edureka.co/python ) scikit-learn is an open source machine learning library for the Python programming language.It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. This video covers the following topics : 1.Installing Scikit 2.What is Scikit Learn 3.Applications using Scikit learn 4. Scikit-K-Means-Clustering 5.Related activity problems http://www.edureka.co/blog/python-webinar-14nov14?utm_source=youtube&utm_medium=referral&utm_campaign=scikit-learn-11 http://www.edureka.co/blog/understanding-range-function-and-sequences-in-python?utm_source=youtube&utm_medium=referral&utm_campaign=scikit-learn-11 http://www.edureka.co/blog/input-in-python?utm_source=youtube&utm_medium=referral&utm_campaign=scikit-learn-11 Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to Scikit Learn have extensively been covered in our ‘ Python for Big Data Analytics’ course. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004