Course Purchase Includes

Each purchase comes with a 10 day money-back guarantee

  • 7 hours of content

  • Unlimited access

  • Access to code forums

  • Devslopes Certificate of Completion

Course curriculum

  • 01
    Intro to Course
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    • What is Machine Learning?
    • Basics of Machine Learning
    • Installing Anaconda / Python Environment
    • Downloading / Setting Up Atom & Plugins
  • 02
    Python Basics
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    • Variables in Python
    • Functions, Conditionals, & Loops in Python
    • Arrays & Tuples in Python
    • Importing Modules in Python
  • 03
    Building a Classification Model
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    • What is scikit-learn? Why use it?
    • Installing scikit-learn & scipy with Anaconda
    • Intro to the Iris Dataset
    • Datasets: Features & Labels Explained
    • Loading the Iris Dataset / Examining & Preparing Data
    • Creating / Training a KNeighborsClassifier
    • Testing Prediction Accuracy with Test Data
    • Building Our Own KNeighborsClassifier
  • 04
    Building a Convolutional Neural Network
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    • What is Keras? Why use it?
    • What is a Convolutional Neural Network (CNN)?
    • Installing Keras with Anaconda
    • Preparing Dataset for a CNN
    • Building / Visualizing a CNN using Sequential: Part 1
    • Building / Visualizing a CNN using Sequential: Part 2
    • Training CNN / Evaluating Accuracy / Saving to Disk
    • Switching Python Environments / Converting to Core ML Model
  • 05
    Building a Handwriting Recognition App
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    • Intro to App – Handwriting
    • Building Interface / Wiring Up
    • Drawing On Screen
    • Importing Core ML Model / Reading Metadata
    • Utilizing Core ML / Vision to Make Prediction
    • Handling / Displaying Prediction Results
    • Handwriting app final source
  • 06
    Core ML Basics
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    • Intro to App – Core ML Photo Analysis
    • What is Machine Learning?
    • What is Core ML?
    • Core ML assets
    • Creating Xcode Project
    • Building ImageVC in Interface Builder / Wiring Up
    • Creating ImageCell & Subclass / Wiring Up
    • Creating FoodItems Helper File
    • Creating Custom 3x3 Grid UICollectionViewFlowLayout
    • Choosing, Downloading, Importing Core ML Model
    • Passing Images Through Core ML Model
    • Handling Core ML Prediction Results
    • Challenge – Core ML Photo Analysis
    • Core ML final source