Machine Learning for Apps
In this course, learn foundational Python for machine learning and how to build an iOS app and classification model capable of making predictions.
This free online machine learning course covers foundational python for machine learning. You’ll learn what machine learning (ML) is and how it is applied, study the five steps of ML integration, and look into the installation of Anaconda and Atom including their applications. You’ll learn how to build an iOS app and create a classification model capable of making predictions using neural networks, and much more!
What You Will Learn In This Free Course
Essential Software
In this module you’ll learn about essential software for machine learning and it covers topics such as What is Machine Learning?; Machine Learning Basics; Installing Anaconda; Atom and Plugins.
Python Basics
In this module you’ll learn about the basics of Python, and it covers topics such as Variables in Python; Python Functions, Conditionals and Loops; Python Arrays and Tuples; Modules in Python.; Module
Classification Modelling
In this module you’ll learn about classification modelling and it covers topics such as Installing SciKit-Learn; Iris Flower Dataset; Dataset Features and Labels; Preparing Data; Training a Classifier; Testing Prediction Accuracy; Building a Classifier.
Convolutional Neural Network
In this module you’ll learn about convolutional neural networks and it covers topics such as Installing Keras and PIP; Preparing the Dataset; Using Sequential; Sequential Process; Training the Data; Core ML Model.
Building the App
In this module you’ll learn about building the app and it covers topics such as Building the Interface; Drawing On Screen; Core ML Import; Utilizing Core ML; Displaying Prediction Results.; Module
Core ML Basics
In this module you’ll learn about the basics of Core ML and it covers topics such as Core ML Photo Analysis; New Xcode Project; Building the ImageVC; ImageCell and Subclass; Food Items Helper File; Custom Grid; Importing Core ML Model; Passing In Images; Handling Prediction Results. NOTE: The final video topic is a learning challenge to develop a new feature for the app.
Course assessment
