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Update Lab 2 - RDD, DataFrame, ML pipeline, and parallelization.md #10

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Update Lab 2 - RDD, DataFrame, ML pipeline, and parallelization.md
kierbn Mar 1, 2025
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Update Lab 2 - RDD, DataFrame, ML pipeline, and parallelization.md
kierbn Mar 1, 2025
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5 changes: 3 additions & 2 deletions Lab 2 - RDD, DataFrame, ML pipeline, and parallelization.md
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Expand Up @@ -530,12 +530,13 @@ Starting from this lab, you need to use *as many DataFrame functions as possible

Load the Aug95 NASA access log data in Lab 1 and create a DataFrame with FIVE columns by **specifying** the schema according to the description in the downloaded html file. Use this DataFrame for the following questions.

2. Find out the number of **unique** hosts in total (i.e. in August 1995)?
3. Find out the most frequent visitor, i.e. the host with the largest number of visits.
2. Find out the number of **unique** hosts in total (i.e. in August 1995)? [Answer: 75060 Unique Hosts]
3. Find out the most frequent visitor, i.e. the host with the largest number of visits. [Answer: "edams.ksc.nasa.gov]

### Linear regression for advertising

4. Add regularization to the [linear regression for advertising example](#example-linear-regression-for-advertising) and evaluate the prediction performance against the performance without any regularization. Study at least three different regularization settings.
[Answer: Adding increasing regularisation parameters (0.1, 0.2, 0.5) increases each of the predictions each time. Not really sure what else to put here without just copy pasting it all in?]

### Logistic regression for document classification

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