Instructional Video5:18
Curated Video

Evaluate a machine learning model : Review of Classifying Images Using Support Vector Machines

Higher Ed
From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models and...
Instructional Video7:18
Curated Video

Develop a computer program to solve a problem using control structures : For Loops

Higher Ed
From the section: Python Crash Course. In this section, the author covers Python and provides a crash course on this. Python Crash Course: For Loops
Instructional Video9:05
Curated Video

Describe the different types of malware that could affect a computer system or network : Ransomware

Higher Ed
From the section: Exploring Malware Functionalities. In this section, you learn how the behavior of malware is different in various classes of malware, and such an insight helps you to understand the class of malware while you are...
Instructional Video10:03
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Code to build a perceptron for binary classification

Higher Ed
From the section: Artificial Neural Networks. In this section, we’ll learn about ANN. Artificial Neural Networks: Code to build a perceptron for binary classification
Instructional Video7:24
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to define the region of interest

Higher Ed
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: [Activity] Code to define the region of interest
Instructional Video8:34
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Convolutions - Sharpening and Blurring

Higher Ed
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Convolutions - Sharpening and Blurring
Instructional Video5:32
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Install Anaconda, OpenCV, Tensorflow, and the Course Materials

Higher Ed
From the section: Environment Setup and Installation. This section will help you to install the required software and set up the development environment for this course. Environment Setup and Installation: Install Anaconda, OpenCV,...
Instructional Video5:02
Curated Video

Learning R for Data Visualization (Video 17)

Higher Ed
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
Instructional Video6:08
Curated Video

Mastering Tableau 2018.1, Second Edition 5.7: Working with Data Labels and the Tooltip

Higher Ed
We’ll see data labels and tooltips. • Understand the marks card: data labels and tooltips • Apply labels to data • Apply tooltips to data
Instructional Video17:41
Curated Video

Mastering Tableau 2018.1, Second Edition 3.1: Data Preparation and Cleaning Data Sources with Dates and Numbers

Higher Ed
In this video, we’ll see how to convert dates and numbers into a usable format. • Understand what clean data is • Select a date using a data source filter • Clean the data
Instructional Video9:55
Curated Video

Bug Bounty Program Certification 5.3: Perform Denial of Service Attack on Server

Higher Ed
This video will help you understand DOS attack process • Use LOIC tool to perform DOS attack • Attack on other systems in network • Monitor DOS attack using Wireshark
Instructional Video23:59
APMonitor

Install Python Modules

10th - Higher Ed
Python packages such as numpy, scipy, matplotlib, xlwings, pygame, openCV, and others extend the capabilities of this capable programming language. Installing packages is accomplished with downloadable installer packages or through the...
Instructional Video15:23
Programming Electronics Academy

Things to Think About When Choosing a Library: Arduino Course 6.3

Higher Ed
A look at different criteria to consider when choosing a code library for Arduino.
Instructional Video11:14
Programming Electronics Academy

If with Button: Arduino Course 5.2

Higher Ed
Using a button and if statement with Arduino.
Instructional Video4:21
Curated Video

routing protocols : Terms: AS, IGPs, EGPs

Higher Ed
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Terms: AS, IGPs, EGPs
Instructional Video2:22
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 13

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing With Real World Natural Images: Working with...
Instructional Video14:04
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 8

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video2:51
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 7

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video4:05
Curated Video

Modify a data structure : Remove Tail

Higher Ed
From the section: Linked Lists. This section introduces Linked Lists and "Node" constructor functions along with Big O Notation and calculating the runtime of a function Linked Lists: Remove Tail
Instructional Video13:38
Curated Video

Create a list : The List Contains Challenge

Higher Ed
From the section: Lists. This section focuses on lists and the various functions of the list. This video presents the List Contains Challenge.
Instructional Video12:27
Curated Video

Implement different search algorithms : BST - Deleting nodes with 2 children

Higher Ed
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Delete scenario 3 - deleting nodes with both left and right child nodes
Instructional Video5:17
Curated Video

Implement different search algorithms : BST from scratch - Search

Higher Ed
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Add a search method to the BST class
Instructional Video3:04
Curated Video

Implement a decision tree : Decision Trees

Higher Ed
From the section: Mastering Kaggle Titanic Competition Using Random Forest. The module will cover Random Forest and thus cover decision trees and will encourage the student to make a Kaggle submission and introduce them to the online...
Instructional Video1:51
Curated Video

Evaluate a machine learning model : Assignment – Getting Better Test Sample Results by Measuring Model Performance

Higher Ed
From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models and...