scikits.learn: brief description

scikits.learn: brief description

It’s hard to find good off-the-shelf tools for practical machine learning. Many of the projects are aimed at students and researchers who want access to the inner workings of the algorithms, which can be off-putting when you’re looking for more of a black box to solve a particular problem. That’s a gap that scikits.learn really helps to fill. It’s a beautifully documented and easy-to-use Python package offering a high-level interface to many standard machine learning techniques.

It collects most techniques that fall under the standard definition of machine learning (taking a training dataset and using that to predict something useful about data received later) and offers a common way of connecting them together and swapping them out. This makes it a very fruitful sandbox for experimentation and rapid prototyping, with a very easy path to using the same code in production once it’s working well.

Вас заинтересует / Intresting for you:

Data visualization example usi...
Data visualization example usi... 785 views Zandria Yevgenia Mon, 30 Jul 2018, 14:27:19
Tableau: Definition and Short ...
Tableau: Definition and Short ... 765 views Дэйзи ак-Макарова Tue, 08 Oct 2019, 14:02:48
Desirable Functionality in Des...
Desirable Functionality in Des... 558 views Akmaral Sat, 14 Jul 2018, 08:20:48
Alternative Views of What Orac...
Alternative Views of What Orac... 1201 views Валерий Павлюков Sun, 20 May 2018, 15:28:40