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

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

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

Find out how Python compares to Java for data analysis, then use Flask to build a Python-based web service for machine learning Machine learning is one of our most important technologies for the ...

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

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 ...

What are some open-source machine learning libraries for Python? There are many open-source machine learning libraries for Python, including TensorFlow, PyTorch, Scikit-learn, Keras, and Theano.

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.

The Machine Learning & Data Science Certification Training Bundle features 8 courses on Python and R packages used in deep learning.