Day 15

Machine learning Jingle Bell SPAM: Machine Learning Saves the Day!

Learning Objectives

  • Different steps in a generic Machine Learning pipeline

  • Machine Learning classification and training models

  • How to split the dataset into training and testing data

  • How to prepare the Machine Learning model

  • How to evaluate the model's effectiveness

This is again a very straightforward room with all the instructions given. We just need to follow along

What is the key first step in the Machine Learning pipeline?Correct Answer
[REDACTED]
Which data preprocessing feature is used to create new features or modify existing ones to improve model performance?
[REDACTED]
During the data splitting step, 20% of the dataset was split for testing. What is the percentage weightage avg of precision of spam detection?
[REDACTED]
How many of the test emails are marked as spam?
[REDACTED]
One of the emails that is detected as spam contains a secret code. What is the code?
[REDACTED]
You will have to look at the whole spam marked message.

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