Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data. The course is lead by Francesco Mosconi. Ph.D. in Physics and ...

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of ...

Welcome to scikit-learn-for-beginners! This course helps you understand the key concepts of Scikit-learn, a fundamental machine learning library in Python. Whether you are new to programming or want ...

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

Learn about some of the best Python libraries for programming artificial Intelligence, machine learning, and deep learning. TechRepublic Get the web's best business technology news, tutorials, reviews ...