This Learning Path takes a step-by-step approach to teach you how to get started with data science, machine learning, and deep learning. Each module is designed to build on the learning of the previous chapter. The book contains multiple demos that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
In the first part of this Learning Path, you will learn entry-level data science. You'll learn about commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.
In the second part, you'll be introduced to neural networks and deep learning. You will then learn how to train, evaluate, and deploy Tensorflow and Keras models as real-world web applications. By the time you are done reading, you will have the knowledge to build applications in the deep learning environment and create elaborate data visualizations and predictions.
