Machine Learning for Apps

Intro to Course 4 lectures 30:49 What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. Intro to Course 4 lectures 30:49 What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. What is Machine Learning? In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. In this lesson, you will learn the basics of Machine Learning in general – what it is and why developers care. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Basics of Machine Learning In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. In this lesson, you will learn the 5 main steps in Machine Learning and how we will utilize them in this course. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Installing Anaconda / Python Environment In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. In this lesson, you will install Anaconda – an application that makes creating and switching between Python environments seamless on your Mac. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. Downloading / Setting Up Atom & Plugins In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. In this lesson, you will download and configure Atom – a fully hackable text editor we will use to write Python code in the following section. Python Basics 4 lectures 37:28 Variables in Python In this lesson, you will learn how to create and work with variables in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Python Basics 4 lectures 37:28 Variables in Python In this lesson, you will learn how to create and work with variables in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Variables in Python In this lesson, you will learn how to create and work with variables in Python. Variables in Python In this lesson, you will learn how to create and work with variables in Python. Variables in Python In this lesson, you will learn how to create and work with variables in Python. Variables in Python In this lesson, you will learn how to create and work with variables in Python. In this lesson, you will learn how to create and work with variables in Python. In this lesson, you will learn how to create and work with variables in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Functions, Conditionals, & Loops in Python In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. In this lesson, you will learn how to write and use functions, conditionals, and loops in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. Arrays & Tuples in Python In this lesson, you will learn how to create and use arrays and tuples in Python. In this lesson, you will learn how to create and use arrays and tuples in Python. In this lesson, you will learn how to create and use arrays and tuples in Python. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Importing Modules in Python In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. In this lesson, you will learn how to import modules (think frameworks) in Python to grant access to additional functionality. Building a Classification Model 8 lectures 01:07:46 What is scikit-learn? Why use it? In this lesson, you will become familiar with scikit-learn – a popular machine learning module in Python. You will learn what it is and why you should using it. Installing scikit-learn & scipy with Anaconda In this lesson, you will install scikit-learn and scipy with Anaconda. Scipy is a framework for using Scientific Python. Intro to the Iris Dataset In this lesson, you will be introduced to the Iris Dataset – a famous set of data used to classify three types of Iris flower. Datasets: Features & Labels Explained In this lesson, you will be given a definition and examples of Features & Labels – the two most important pieces of data required to train a machine learning model. Loading the Iris Dataset / Examining & Preparing Data In this lesson, you will load the Iris dataset into your Python project, examine the data, and make the necessary preparations for the data to be used for model training. Creating / Training a KNeighborsClassifier In this lesson, you will learn about KNeighborsClassifier, create an instance of it, and train it with our array of training data. Testing Prediction Accuracy with Test Data In this lesson, you will test the accuracy of the Classification model using test data. Building Our Own KNeighborsClassifier In this video, you will build your own KNeighborsClassifier class from scratch to understand how it works under the hood. Building a Classification Model. 8 lectures 01:07:46 What is scikit-learn? Why use it? In this lesson, you will become familiar with scikit-learn – a popular machine learning module in Python. You will learn what it is and why you should using it. Installing scikit-learn & scipy with Anaconda In this lesson, you will install scikit-learn and scipy with Anaconda. Scipy is a framework for using Scientific Python. Intro to the Iris Dataset In this lesson, you will be introduced to the Iris Dataset – a famous set of data used to classify three types of Iris flower. Datasets: Features & Labels Explained In this lesson, you will be given a definition and examples of Features & Labels – the two most important pieces of data required to train a machine learning model. Loading the Iris Dataset / Examining & Preparing Data In this lesson, you will load the Iris dataset into your Python project, examine the data, and make the necessary preparations for the data to be used for model training. Creating / Training a KNeighborsClassifier In this lesson, you will learn about KNeighborsClassifier, create an instance of it, and train it with our array of training data. Testing Prediction Accuracy with Test Data In this lesson, you will test the accuracy of the Classification model using test data. Building Our Own KNeighborsClassifier In this video, you will build your own KNeighborsClassifier class from scratch to understand how it works under the hood. What is scikit-learn? Why use it? In this lesson, you will become familiar with scikit-learn – a popular machine learning module in Python. You will learn what it is and why you should using it. What is scikit-learn? Why use it? In this lesson, you will become familiar with scikit-learn – a popular machine learning module in Python. You will learn what it is and why you should using it strong ...