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

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

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

The book “ Introduction to Machine Learning with Python “ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

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

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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.

Apurva Pathak is a prominent machine learning expert and software engineer currently based in Newark, California. With a ...