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61 Students

Description

What Will You Learn?

  • Learn to code how the PROs code - not just copy and paste
  • Build Real Projects - You'll get to build projects that help you retain what you've learned
  • Build awesome apps that can make predictions
  • Build amazing apps that can classify human handwriting

Requirements

  • Must have a computer with OSX or macOS on it
  • NFT Certificate
  • 42 Lessons
  • Beginner
  • English
  • 4.7 Rating
  • +100 XP

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Curriculum

Course consist of total 6h 52min of content, in total.

Section 2: Python Basics
37:28
Functions, Conditionals, & Loops in Python
09:50
Arrays & Tuples in Python
13:52
Importing Modules in Python
05:22
Section 3: Building a Classification Model
1:07:44
Intro to the Iris Dataset
03:28
Datasets: Features & Labels Explained
07:39
Loading the Iris Dataset / Examining & Preparing Data
09:27
Creating / Training a KNeighborsClassifier
09:42
Testing Prediction Accuracy with Test Data
12:08
Building Our Own KNeighborsClassifier
18:00
What is scikit-learn- Why use it-
03:52
Installing scikit-learn & scipy with Anaconda
03:28
Section 4: Building a Convolutional Neural Network
2:02:06
What is Keras? Why use it?
08:01
What is a Convolutional Neural Network (CNN)?
26:30
Installing Keras with Anaconda
04:38
Preparing Dataset for a CNN
17:38
Building / Visualizing a CNN using Sequential: Part 1
14:07
Building / Visualizing a CNN using Sequential: Part 2
19:40
Training CNN / Evaluating Accuracy / Saving to Disk
17:53
Switching Python Environments / Converting to Core ML Model
13:39
Section 5: Building a Handwriting Recognition App
1:13:39
Intro to App – Handwriting
02:56
Building Interface / Wiring Up
11:42
Drawing On Screen
21:01
Importing Core ML Model / Reading Metadata
05:16
Utilizing Core ML / Vision to Make Prediction
17:31
Handling / Displaying Prediction Results
15:13
Section 6: Core ML Basics
1:20:37
Intro to App – Core ML Photo Analysis
04:25
What is Machine Learning?
07:46
What is Core ML?
05:03
Creating Xcode Project
02:43
Building ImageVC in Interface Builder / Wiring Up
07:40
Creating ImageCell & Subclass / Wiring Up
08:13
Creating FoodItems Helper File
07:02
Creating Custom 3x3 Grid UICollectionViewFlowLayout
09:12
Choosing, Downloading, Importing Core ML Model
05:18
Passing Images Through Core ML Model
12:18
Handling Core ML Prediction Results
09:42
Challenge – Core ML Photo Analysis
01:15

About the Instructor

90.2% of students rated this instructor as excellent!

Mark Price is known as a veteran mobile developer. He has built more than 60 mobile apps for Android and iOS. Also, he is teaching Unity 3D game development, JavaScript, Java, Node, Android iOS 10, Swift, React, and more. Through the years, Mark has made a lot of Unity 3D games like Call of Duty Ghost mobile and others.

Mark loves teaching. That’s why he is spending a lot of his time working as a professional engineering instructor. He is passionate about helping people reveal hidden talents so he teaches all who want to learn programming or begin a startup.

Moreover, Mark Price is the CEO of Devslopes that is dedicated to teaching coding skills to aspiring developers. Devslopes offers courses, quizzes, and exercises for beginners who want to become paid professionals.

On BitDegree, you have a chance to choose from various Mark Price’s courses. You can learn how to develop a game, app or website, improve your coding skills and much more. So look no further, choose a course and start learning with Mark Price today!

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