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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 …
3.1.5.5 Lab - Correlation Analysis in Python (Instructor Version) Objectives Part 1: The Dataset Part 2: Scatterplot Graphs and Correlatable Variables Part 3: Calculating Correlation with Python Part 4: Visualizing Scenario/Background Correlation is an important statistical relationship that can indicate whether the variable values are linearly related. In …
3.1.4.6 Lab - Descriptive Statistics in Python (Instructor Version) Objectives Part 1: Analyzing the Data Part 2: Visualizing the Data Scenario/Background In this lab, you will import a data set into a pandas frame and generate descriptive statistics from the data. You will format text strings report the …
2.5.2.5 Lab - Internet Meter SQL (Instructor Version) Objectives Part 1: Set up your Database Part 2: Connect to the Database Part 3: Manipulate the Data with Pandas Part 4: Join Tables with Pandas </b> Scenario/Background In this lab you will learn how to connect to a relational …
2.5.2.4 Lab - Working with Python and SQLite (Instructor Version) Objectives Part 1: Create the Database Part 2: Enter Data and Query the Database Part 3: Automate the Process with Python </b> Scenario/Background In this lab you will learn how to connect to a relational database, place queries, …
2.5.1.4 Lab - Internet Meter Data Analysis (Instructor Version) Objectives **Part 1: Collect and Store Data** **Part 2: Manipulate Data** Scenario/Background In this lab, you will acquire Internet speed statistics and store the live data in a comma separated values (csv) file. You will also load the stored …
2.4.1.5 Lab - Ethics of Using Big Data (Instructor Version) Objective Use the discussion boards to start, or contribute to, a topic based on the ethics of using Big Data. Scenario Big Data is used by governments, companies, and web sites to determine answers to questions based on …
