Section 01: Intro to Course |
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What is Machine Learning? |
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00:08:00 |
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Basics of Machine Learning |
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00:07:00 |
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Installing Anaconda / Python Environment |
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00:07:00 |
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Downloading / Setting Up Atom and Plugins |
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00:09:00 |
Section 02: Python Basics |
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Variables in Python |
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00:08:00 |
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Functions, Conditionals, and Loops in Python |
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00:10:00 |
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Arrays and Tuples in Python |
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00:14:00 |
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Importing Modules in Python |
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00:05:00 |
Section 03: Building a Classification Model |
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What is scikit-learn? Why use it? |
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00:04:00 |
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Installing scikit-learn and scipy with Anaconda |
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00:03:00 |
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Intro to the Iris Dataset |
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00:03:00 |
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Datasets: Features and Labels Explained |
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00:08:00 |
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Loading the Iris Dataset / Examining and Preparing Data |
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00:09:00 |
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Creating / Training a KNeighborsClassifier |
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00:10:00 |
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Testing Prediction Accuracy with Test Data |
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00:12:00 |
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Building Our Own KNeighborsClassifie |
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00:18:00 |
Section 04: Building a Convolutional Neural Network |
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What is Keras? Why use it? |
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00:08:00 |
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What is a Convolutional Neural Network (CNN)? |
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00:27:00 |
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Installing Keras with Anaconda |
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00:05:00 |
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Preparing Dataset for a CNN |
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00:18:00 |
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Building / Visualizing a CNN using Sequential: Part 1 |
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00:14:00 |
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Building / Visualizing a CNN using Sequential: Part 2 |
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00:20:00 |
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Training CNN / Evaluating Accuracy / Saving to Disk |
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00:18:00 |
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Switching Python Environments / Converting to Core ML Model |
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00:14:00 |
Section 05: Building a Handwriting Recognition App |
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Intro to App-Handwriting |
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00:03:00 |
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Building Interface / Wiring Up |
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00:12:00 |
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Drawing on Screen |
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00:21:00 |
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Importing Core ML Model / Reading Metadata |
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00:05:00 |
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Utilizing Core ML / Vision to Make Prediction |
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00:18:00 |
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Handling / Displaying Prediction Results |
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00:15:00 |
Section 06: Core ML Basics |
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Intro to App -Core ML Photo Analysis |
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00:04:00 |
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What is Machine Learning? |
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00:08:00 |
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What is Core ML? |
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00:05:00 |
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Creating X code Project |
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00:03:00 |
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Building Image VC in Interface Builder / Wiring Up |
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00:08:00 |
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Creating Image Cell |
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00:08:00 |
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Creating Food Items Helper File |
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00:07:00 |
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Creating Custom 3×3 Grid UI Collection View Flow Layout |
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00:09:00 |
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Choosing, Downloading, Importing Core ML Model |
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00:05:00 |
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Passing Images through Core ML Model |
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00:12:00 |
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Handling Core ML Prediction Results |
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00:10:00 |
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Challenge –Core ML Photo Analysis |
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00:01:00 |
Assignment |
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Assignment – Machine Learning for Apps |
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00:00:00 |