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 ...

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

Tap the predictive power of machine learning with these diverse, easy-to-implement libraries and frameworks ...

I like to divide my machine learning education into two eras: I spent the first era learning how to build models with tools like scikit-learn and TensorFlow, which was hard and took forever. I ...

Build your first neural network step by step! Learn how a perceptron works by coding it from the ground up—no libraries, just Python.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

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

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