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1.3.1.6 Lab - Threat identification (Answers) Instructor Note: Red font color or gray highlights indicate text that appears in the instructor copy only. Objectives Explore the security features used by organizations to keep data safe. Part 1: Exploring the Threat of Cyberattacks Part 2: CIA Triad Background / …
6.4.1.4 Lab - Smile Detection (Instructor Version) Objectives The objective of this lab is to use machine learning to detect whether a person is smiling when given a picture or a video. Part 1: Detect Faces Part 2: Data Processing: Face Standardization Part 3: Load a Pre-trained Moel …
6.4.1.3 Lab - Image Processing Change Detection (Instructor Version) Objectives Part 1: Learn About Computer Imaging Part 2: Capture Images Part 3: Change Detection Part 4: Explanation and Application Scenario/Background Detecting moving objects in a scene is one of the most important tasks in computer vision. It is …
6.4.1.2 Lab - Install and Test the Raspberry Pi Camera (Instructor Version) Objectives Part 1: Setup the Raspberry Pi camera. Part 2: Test the Raspberry Pi camera. Part 3: Capture images with Python. Scenario/Background Raspberry Pi versions 2 and higher come with a dedicated camera port. The Raspberry …
6.1.3.4 Lab - Install a Virtual Machine on a Personal Computer (Instructor Version) Objectives Part 1: Download and Install VirtualBox Part 2: Download the Virtual Machine Image File Part 3: Create the Virtual Machine Part 4: Install the Operating System Part 5: Guest-Host Network Communication Part 6: Challenge: …
5.3.1.5 Lab - Internet Speed Compliance (Instructor Version) Objectives Part 1: Determine if the Delivered Internet Speed Complies with the Provider's Contract Part 2: Write a Report to the Internet Provider (Optional) Scenario/Background In the first part of this lab, you will learn how to answer questions in …
5.3.1.4 Lab - Advanced Data Visualization (Instructor Version) Objectives Part 1: Prepare the data Part 2: Visualize the data Scenario/Background In this lab, you will learn how to combine an SQLite database, JSON files, and pandas DataFrames. You will interface with a wrapper for the library folium, that enables you to plot data on a …
5.2.3.8 Lab - Visualizing Data in Excel (Instructor Version) Objectives Part 1: Prepare Data for Visualization Install the analysis ToolPak. Create random numbers. Export a CSV file. Part 2: Create Excel Charts for Visualizing Data Create a frequency distribution. Create and customize a column chart Create a scatter …
4.3.2.4 Lab - Internet Meter Anomaly Detection (Instructor Version) Objectives Part 1: Feature Engineering Part 2: Euclidean Anomaly Detection Scenario/Background Anomaly-detection algorithms locate those datapoints that stand out from a pattern. For example, algorithms of this kind can be used to test the safety of airplane engines by …
4.3.1.4 Lab - Internet Meter Linear Regression (Instructor Version) Objectives In this lab, you will become familiar with the concepts of regression and prediction and the concept of working with data. Part 1: Import the Libraries Part 2: Visualize the Historical Data Part 3: Create a Simple Linear …
