Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Anaconda Python Anaconda has come to prominence as a major Python distribution, not just for data science and machine learning but for general purpose Python development as well.

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Learn why Python has become the go-to programming language for machine learning and deep learning applications ...

The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

This is a practical module that provides an introduction to the concepts of machine learning and application of algorithms to several types of available data samples. In order to achieve this students ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series.

This course will give you an introduction to machine learning using the Python programming language and the TensorFlow TM programming toolkit from Google. No programming background is assumed, however ...