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What you'll learn
Improve apps with machine learning, TensorFlow, and PyCharm.
Build complete computational models from scratch.
Train and test models to use for future predictions.
Build and run Android projects.
Code in Java and Python.
Incorporate machine learning models into apps.
And more!

Requirements
No experience required!
Mac/PC compatible. Recorded on a Mac.
Please download PyCharm Community Edition.
We will also show you how to install Android Studio and TensorFlow.
Topics involve intermediate math, so familiarity with university-level math is helpful.

Description
Do you want to learn to predict weather, stock market, and credit card fraud? This course is for you!

Build machine learning models for Credit Card, Weather and Stock Market prediction. And much more!

Funded by a #1 Kickstarter Project by Mammoth Interactive

You will gain a broad overview of PyCharm and TensorFlow. We make learning Python interesting and easy for anyone.

Leverage TensorFlow models to build & improve apps! Learn predictive modeling, logistic regression, and regression analysis.

Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.

Master the basics: become an expert in Python and Java while learning core machine learning concepts

Machine learning goes mobile: learn how to incorporate machine learning models into Android apps

Join Mammoth Interactive in this course where you learn theoretical knowledge through hands-on coding projects.

Learn TensorFlow and how to build models of linear regression

Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps

Make a Credit Card Fraud Detection Model in Python!

Learn a Popular General Purpose Programming Language in PyCharm

We'll give you all necessary information to succeed from newbie to pro. We will install PyCharm 2017.2 and explore the interface.

You will learn Python 3.6 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects.

You will learn via practical examples, follow-alongs, and over-the-shoulder tutorials. You won't need to go anywhere else.

Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:

Fraud Detection with Python, TensorFlow & Linear Regression!

Detect Fraud and Predict the Stock Market with TensorFlow

Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

Make predictions with Python machine learning for apps

Learn to Code in Java for Android Studio

You will install Android Studio 3 and 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.

You will build and run Android projects and will have solid examples to apply your knowledge immediately.

Learn Machine Learning Algorithms

You will understand what machine learning is and compare it to Artificial Intelligence (AI). You'll 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, and they're not going away. You will explore different machine learning mechanisms and commonly used algorithms.

Improve Apps with Machine Learning

You'll learn how TensorFlow 1.4 makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'll understand the basic components of TensorFlow.

You will also build a complete computational model. You'll train and test a model and use it for future predictions. You'll build a linear regression model to fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model!

Who this course is for?
Anyone who wants to learn machine learning through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow.
Anyone who wants to learn the technology that is shaping how we interact with the world around us.
Anyone who is interested in predictive modeling for handling the stock market, weather, and text.
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