Udemy

Learn to Master Python: From Beginner to Expert

立即報名
  • 170 名學生
  • 更新於 9/2019
  • 可獲發證書
4.4
(13 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
教學語言
英語
授課導師
Mammoth Interactive, John Bura
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.4
(13 個評分)
1次瀏覽

課程簡介

Learn to Master Python: From Beginner to Expert

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!

課程章節

  • 61 個章節
  • 430 堂課
  • 第 1 章 Make Predictions with Python Machine Learning for Apps - Resources
  • 第 2 章 Introduction to Machine Learning and Software
  • 第 3 章 Intro to Android
  • 第 4 章 Intro to Android Studio
  • 第 5 章 Intro to Java
  • 第 6 章 Intro to App Development
  • 第 7 章 Intro to ML Concepts
  • 第 8 章 Intro to Pycharm
  • 第 9 章 Introduction
  • 第 10 章 Python Language Basics
  • 第 11 章 Intro to Tensorflow
  • 第 12 章 Machine Learning in Android Studio Projects
  • 第 13 章 Tensorflow Estimator
  • 第 14 章 Intro to Android Machine Learning Model Import
  • 第 15 章 Simple MNIST
  • 第 16 章 MNIST with Estimator
  • 第 17 章 Build Image Recognition Apps
  • 第 18 章 Stock Market Prediction
  • 第 19 章 Text Prediction
  • 第 20 章 Weather Prediction
  • 第 21 章 Introduction to Python Programming
  • 第 22 章 Lists
  • 第 23 章 Loops
  • 第 24 章 Sets and Dictionaries
  • 第 25 章 Input and Output
  • 第 26 章 Classes
  • 第 27 章 Importing
  • 第 28 章 Project Blackjack Game
  • 第 29 章 Error Handling
  • 第 30 章 Matplotlib Fundamentals
  • 第 31 章 Graph Customization
  • 第 32 章 Advanced Plots
  • 第 33 章 Finance Graphs
  • 第 34 章 Advanced Graph Customization
  • 第 35 章 3D Plotting
  • 第 36 章 Sketch
  • 第 37 章 Learn to Code in HTML
  • 第 38 章 Learn to Code in CSS
  • 第 39 章 D3.js
  • 第 40 章 Flask
  • 第 41 章 Xcode Fundamentals
  • 第 42 章 Swift 4 Language Basics
  • 第 43 章 Variable and Constants
  • 第 44 章 Collection Types
  • 第 45 章 Control flow
  • 第 46 章 Functions
  • 第 47 章 Classes, Struct and Enums
  • 第 48 章 Practical MacOS BootCamps
  • 第 49 章 Data Mining With Python
  • 第 50 章 Introduction to Video Editing
  • 第 51 章 Setting Up a Screen Recording
  • 第 52 章 Camtasia Recording
  • 第 53 章 Camtasia Screen Layout
  • 第 54 章 Camtasia Editing
  • 第 55 章 Advance Editing Introduction
  • 第 56 章 Camtasia Resources and Tips
  • 第 57 章 Exporting a Project for Youtube
  • 第 58 章 Code with C#
  • 第 59 章 Learn to Code with R
  • 第 60 章 Advanced R
  • 第 61 章 Learn to Code with Java

課程內容

  • 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!


評價

  • M
    Mustamin S.Pd., M.T., M.Pd.
    5.0

    Materinya sangat kompleks dan lengkap, dijelaskan dengan baik dan mudah untuk di ikuti. Terimakasih

  • V
    Victor Reppeto
    4.0

    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.

  • S
    Selin Taşkın
    5.0

    Excellent course!

  • A
    Arturo Alejandro Gonzalez Zamora
    4.0

    bien al momento

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