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, ...
Late last year, my colleagues on the Social Science team were working on a new survey weighting scheme that would greatly improve the precision of our public opinion data. To make it work, they needed ...
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 annual income of a person based on their sex, age, state where they live and ...
Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...
Python is a leading development platform for data scientists working on machine learning projects. The tutorial presentation below offers an introduction to the scikit-learn package and to the central ...
Deep Learning with Yacine on MSN
Visualizing high-dimensional data using PCA in Scikit-Learn
Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback