Curated Video
Predictive Analytics with TensorFlow 4.2: From Disaster to Decision –Titanic Example Revisited
In this video, we will see how we could develop several predictive models for Titanic survival prediction and do some analytics using them. In particular, we will discuss logistic regression, random forest, and linear SVM. We start with...
APMonitor
Nonlinear Regression in Python
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Python APMonitor package. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
Curated Video
Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling
From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine (GBM)....
APMonitor
MathCAD Functions and Matrices
Mathcad is a tool to arrange, calculate, and visualize engineering calculations and functions can help with reusing expressions in subsequent evaluations. Use the following worksheets to step through example problems related to using...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
APMonitor
Curve Fit with Excel and Python
Nonlinear regression with heart rate data is shown in both Microsoft Excel and Python. GEKKO and SciPy curve_fit are used as two alternatives in Python. Heart rate data is available at...
APMonitor
Fit Nonlinear Model to Data with Excel
Microsoft Excel adjusts parameters to minimize the difference between measured and predicted values. This tutorial demonstrates how to calculate the sum of squared errors and minimize error with the Solver add-in. See...
APMonitor
Simulate Differential Equations with Python ODEINT
The heights of a dual gravity drained tank are solved with the Scipy.integrate function ODEINT. This example demonstrates how to solve the differential equation and plot the solution.
Curated Video
Discuss the importance of data : Advantages and Disadvantages of Decision Trees
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Create a machine learning model of a real-life process or object : Implementing a Simple Linear Regression Algorithm
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Describe the applications of artificial intelligence systems : Types and Applications of ML
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Paul Marriott
Getting Started witrh Tinkercad Circuits (Arduino Simulator)
If you don't have your own physical Arduino components you can always use Autodesk's free Tinkercad Circuits app, which has and simulates many of the basic Arduino components. The app also supports a built-in block-based coding feature...
APMonitor
Numpy and Loops in Python
This introductory homework assignment solution covers Numpy and loops (for and while) in Python. The example problems use simple vectors and matrices, reshaping, index referencing, initialization, dot product, cross product, matrix...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear Regression in Action
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Create a machine learning model of a real-life process or object : Getting Started with TensorFlow 2.0
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Describe the applications of artificial intelligence systems : Essential Math for ML and AI
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Curated Video
Discuss the importance of data : Classification tree in Python: Training
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Predictive Analytics with TensorFlow 1.1: The Course Overview
This video will give you an overview about the course.
APMonitor
Mathematical Optimization with Python
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an inequality constraint. The problem is solved with the APMonitor toolbox in...
APMonitor
Solve Nonlinear Equations with Excel
Microsoft Excel is used to solve a set of nonlinear equations with the Excel solver add-in.
Curated Video
Discuss the importance of data : Classification tree in Python: Preprocessing
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neural Network)
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Describe a neural network : Neural Network for Multiclass Classifications
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
APMonitor
Solve Nonlinear Equations with Microsoft Excel
The GRG (Generalized Reduced Gradient) solver in Excel can be used to solve sets of nonlinear equations. The nonlinear functions are input as cells and equation residuals are minimized. Functions can either be included as equality...