Author: ITExamAnswers
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 …
4.2.2.5 Lab – Evaluating Fit Errors in Linear Regression (Instructor Version) Objectives In this lab, you will become familiar with the concepts of evaluating fit errors in linear regression. Part 1: Import the Libraries and Data Part 2: Calculate the Errors Scenario / Background In statistics, linear regression …
4.1.3.5 Lab – Decision Tree Classification (Instructor Version) Objectives In this lab, you will use a decision tree classifier model to determine who survived the Titanic cruise ship disaster. Part 1: Create a Decision Tree Classifier Part 2: Apply the Decison Tree Model Part 3: Evaluate the Decison …
4.1.2.4 Lab – Simple Linear Regression in Python (Instructor Version) Objectives In this lab, you will become familiar with the concepts of simple linear regression and working with the provided data to make a prediction. Part 1: Import the Libraries and Data Part 2: Plot the Data Part …
3.2.1.6 Lab – Internet Meter Visualization (Instructor Version) Objectives Part 1: Clean and Analyze Data Part 2: Visualize Data Scenario/Background In this lab, you will learn how to use the pandas library to perform the preliminary steps that are needed before perfoming any data analysis. This includes removing …
