Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Introduction A few years ago, I was assigned the task of classifying internal inquiry logs. At the time, I was running a ...

A comprehensive Python library for machine learning and predictive data analysis. With limited support for deep learning, Scikit-learn offers a large number of algorithms and easy integration with ...

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 ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.

Probabl isn’t your average AI startup, as this new French company is an Inria spin-off company that revolves around an open source data science library called scikit-learn — Inria is a well-known ...

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...