Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to make game changing apps.
We at Mammoth Interactive value input from students like you. Feel free to leave us your feedback.
This course was funded through a massively successful Kickstarter campaign.
Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.
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
Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code.
Make 2D & 3D Graphs in Python with Matplotlib for Beginners! is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.
In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.
We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.
In Part 2, you take your Python knowledge and apply it to Matplotlib. We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!
Why choose Mammoth Interactive?
We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experience by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.
Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!
We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.
Enroll now to join the Mammoth community!
Course Content
- 61 section(s)
- 430 lecture(s)
- Section 1 Make Predictions with Python Machine Learning for Apps - Resources
- Section 2 Introduction to Machine Learning and Software
- Section 3 Intro to Android
- Section 4 Intro to Android Studio
- Section 5 Intro to Java
- Section 6 Intro to App Development
- Section 7 Intro to ML Concepts
- Section 8 Intro to Pycharm
- Section 9 Introduction
- Section 10 Python Language Basics
- Section 11 Intro to Tensorflow
- Section 12 Machine Learning in Android Studio Projects
- Section 13 Tensorflow Estimator
- Section 14 Intro to Android Machine Learning Model Import
- Section 15 Simple MNIST
- Section 16 MNIST with Estimator
- Section 17 Build Image Recognition Apps
- Section 18 Stock Market Prediction
- Section 19 Text Prediction
- Section 20 Weather Prediction
- Section 21 Introduction to Python Programming
- Section 22 Lists
- Section 23 Loops
- Section 24 Sets and Dictionaries
- Section 25 Input and Output
- Section 26 Classes
- Section 27 Importing
- Section 28 Project Blackjack Game
- Section 29 Error Handling
- Section 30 Matplotlib Fundamentals
- Section 31 Graph Customization
- Section 32 Advanced Plots
- Section 33 Finance Graphs
- Section 34 Advanced Graph Customization
- Section 35 3D Plotting
- Section 36 Sketch
- Section 37 Learn to Code in HTML
- Section 38 Learn to Code in CSS
- Section 39 D3.js
- Section 40 Flask
- Section 41 Xcode Fundamentals
- Section 42 Swift 4 Language Basics
- Section 43 Variable and Constants
- Section 44 Collection Types
- Section 45 Control flow
- Section 46 Functions
- Section 47 Classes, Struct and Enums
- Section 48 Practical MacOS BootCamps
- Section 49 Data Mining With Python
- Section 50 Introduction to Video Editing
- Section 51 Setting Up a Screen Recording
- Section 52 Camtasia Recording
- Section 53 Camtasia Screen Layout
- Section 54 Camtasia Editing
- Section 55 Advance Editing Introduction
- Section 56 Camtasia Resources and Tips
- Section 57 Exporting a Project for Youtube
- Section 58 Code with C#
- Section 59 Learn to Code with R
- Section 60 Advanced R
- Section 61 Learn to Code with Java
What You’ll Learn
- Code in the Python programming language.
- Create basic line and scatter plots with Matplotlib
- Customize our graphs with visuals, a title, labels, text and a legend.
- Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps
- Machine learning goes mobile: learn how to incorporate machine learning models into Android apps
- And More!
Skills covered in this course
Reviews
-
MMustamin S.Pd., M.T., M.Pd.
Materinya sangat kompleks dan lengkap, dijelaskan dengan baik dan mudah untuk di ikuti. Terimakasih
-
VVictor Reppeto
I got stuck at one point. I had to look up information regarding his instructions when he said he wasn't going to cover kotlin language.
-
SSelin Taşkın
Excellent course!
-
AArturo Alejandro Gonzalez Zamora
bien al momento