data prep quiz

pull/117/head
Jasmine 4 years ago
parent e0bc8c8fa2
commit 0c4a3547e6

@ -335,48 +335,52 @@
"title": "Data Preparation - Pre Quiz", "title": "Data Preparation - Pre Quiz",
"quiz": [ "quiz": [
{ {
"questionText": "quiz 2 question 2", "questionText": "What one of these is part of the data preparation process?",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "True", "answerText": "Model validation",
"isCorrect": "true" "isCorrect": "false"
}, },
{ {
"answerText": "False", "answerText": "Classification",
"isCorrect": "false" "isCorrect": "false"
},
{
"answerText": "Cleaning",
"isCorrect": "true"
} }
] ]
}, },
{ {
"questionText": "q2", "questionText": "Why is data preparation so important?",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "classical ML was invented first", "answerText": "Makes models more accurate",
"isCorrect": "false" "isCorrect": "true"
}, },
{ {
"answerText": "the use of neural networks", "answerText": "It's not important",
"isCorrect": "true" "isCorrect": "false"
}, },
{ {
"answerText": "deep learning is used in robots", "answerText": "Computers can help clean the data",
"isCorrect": "false" "isCorrect": "false"
} }
] ]
}, },
{ {
"questionText": "q3", "questionText": "What is a goal of data cleaning?",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "to automate the solving of multi-dimensional problems", "answerText": "Fixing formatting issues",
"isCorrect": "false" "isCorrect": "false"
}, },
{ {
"answerText": "to customize a shopping experience based on the type of customer", "answerText": "Fixing data types",
"isCorrect": "false" "isCorrect": "false"
}, },
{ {
"answerText": "both of the above", "answerText": "All of the above",
"isCorrect": "true" "isCorrect": "true"
} }
] ]
@ -388,7 +392,7 @@
"title": "Data Preparation - Post Quiz", "title": "Data Preparation - Post Quiz",
"quiz": [ "quiz": [
{ {
"questionText": "quiz 2 question 2", "questionText": "Merging or joining two datasets into one can affect consistency in data",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "True", "answerText": "True",
@ -401,35 +405,35 @@
] ]
}, },
{ {
"questionText": "q2", "questionText": "What's the first thing that should be done when faced with missing data?",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "classical ML was invented first", "answerText": "Delete it",
"isCorrect": "false" "isCorrect": "false"
}, },
{ {
"answerText": "the use of neural networks", "answerText": "Assess why it's missing",
"isCorrect": "true" "isCorrect": "true"
}, },
{ {
"answerText": "deep learning is used in robots", "answerText": "Try to fill in empty values",
"isCorrect": "false" "isCorrect": "false"
} }
] ]
}, },
{ {
"questionText": "q3", "questionText": "Joining two or more datasets can cause which following issue(s)?",
"answerOptions": [ "answerOptions": [
{ {
"answerText": "to automate the solving of multi-dimensional problems", "answerText": "Duplicates",
"isCorrect": "false" "isCorrect": "false"
}, },
{ {
"answerText": "to customize a shopping experience based on the type of customer", "answerText": "Inconsistent formatting",
"isCorrect": "false" "isCorrect": "false"
}, },
{ {
"answerText": "both of the above", "answerText": "All of the above",
"isCorrect": "true" "isCorrect": "true"
} }
] ]

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