As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

Similarly, the Scikit-Learn and TensorFlow libraries are employed for machine learning jobs, and Django is a well-liked Python web development framework. 5 Python libraries that help interpret ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: New Thinking about Cloud Computing ...

There are Python modules like NumPy, Pandas, Seaborn, Scikit-Learn followed by open source toolkits such as Apache MXNet, Caffe2, Keras, Microsoft Cognitive Toolkit, TensorFlow and PyTorch.

As for scikit-learn, with more than 45,000 stars on GitHub, this Python module is widely used by machine learning teams working on tabular data. It can be used for model fitting, predicting, cross ...