Python Machine Learning

Here's the deal... As a beginner you might think that programming is complex... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. So, if you have a project to develop you could think on hiring a professional developer to shorten the time. This may seem like a good solution but it is certainly very expensive and if the developer you chose doesn't perform a proper job you still have to pay for it.

The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average.

Inside this book, you will go through a first section in which fundamental and basic notions of deep learning are discussed, to get to the next chapters crafted specifically to help you learn advanced coding concepts required to develop training data sets for the production of successful machine learning models.

In the detail, you will learn:

• Why Python is considered the fundamental tool for machine learning
• Deep understanding of the significance of machine learning in our daily lives and why you cannot ignored its importance in 2020
• 12 machine learning models that you must study as a beginner
• The most common mistakes to avoid when you start building machine learning models with Python
• Step-by-step instructions to install required packages to set up a machine learning coding environment
• The algorithms that will make your life easier while coding artificial intelligence
• A proven strategy to process raw data to generate high quality training data sets
• A simple method to build the desired machine learning model in less than 7 days
• The 2 main libraries you need implementing to develop a neural network
• Exercises and quizzes at the end of every chapter to review immediately what you've learned
• Extra content that you will appreciate as curious t...