Make predictions with Python machine learning for apps

Course details

Go through 3 ultimate levels of artificial intelligence for beginners

Learn artificial intelligence, machine learning, and mobile devwith Java,Android,TensorFlow Estimator, PyCharm, andMNIST.Woah! That's a lot of content for one course.

This course was funded by a wildly successful Kickstarter

Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your apps

Prediction Models Masterclass

By the end of this course you will have 3 complete mobile machine learning models and apps.We will build a simple weather prediction project, stock market prediction project, and text-response project.

For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.

No experience? No problem

We'll give you all necessary information to succeed from newbie to pro. We will install PyCharm2017.2.3 and explore the interface. I will show you every step of the way. You will learncrucialPython 3.6.2 language fundamentals. Even if you have coding knowledge, going back to the basics is thekeyto success as a programmer. We will build and run Python projects. Iteach throughpractical examples, follow-alongs, and over-the-shoulder tutorials.You won't need to go anywhere else.

Then we will install Android Studio 3and explore the interface. You will learn how to add a simulator and build simple User Interfaces (UIs). For coding, you will learn Java 8 language fundamentals. Java is aHUGElanguage that you must know, and Iwill tell you all about it. We will buildand run Android projects directly in the course, and you will havesolid examplestoapply your knowledgeimmediately.

Complete Image Recognition and Machine Learning for Beginners

With this course Iwill help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily. Machine learning, neural networks, deep learning, and artificial intelligence are all around us, andthey're not going away. I will show you how to get a grasp on this ever-growing technology in this course. We will explore different machine learning mechanisms and commonly used algorithms. These are popular and ones you should know.

Next I'll teach youwhat TensorFlow 1.4.1is and how it makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'llunderstandthe basic components of TensorFlow.

Follow along with me to build acomplete computational model. We'll train and test a model and use it for future predictions. I'll also show you how to build alinear regression modelto fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model.

Stock Market, Weather & Text - Let's Go!