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

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.

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.

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

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.

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...

Machine learning and artificial intelligence have dozens of use cases that IT professionals and casual users alike will need to master. This 35-hour training course gets you started for $29.99 ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome ...