Beginners Guide to Machine Learning - Python, Keras, SKLearn - sena Course

"A Beginner's Guide to Machine Learning with Python, Keras, and scikit-learn" is likely a guide or tutorial for people new to the field of machine learning, who want to learn how to use the Python programming language, along with the Keras and scikit-learn libraries, to build and train machine learning models. Python is a popular programming language for machine learning because it has a large number of libraries and frameworks that make it easy to implement machine learning algorithms. Keras is a high-level neural network API, written in Python and capable of running on top of TensorFlow (or Theano/CNTK). It is a user-friendly and intuitive framework for building and training neural networks. The guide would likely cover the basic concepts of machine learning, as well as walk the reader through the process of building and training different types of machine learning models using Python, Keras, and scikit-learn.