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TryHackme’s Advent of Cyber 2023 — Day 15 Writeup
Machine learning Jingle Bell SPAM: Machine Learning Saves the Day!
Learning Objectives
In this task, we will explore:
- 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
Exploring Machine Learning Pipeline
A Machine Learning pipeline refers to the series of steps involved in building and deploying an ML model. These steps ensure that data flows efficiently from its raw form to predictions and insights.
A typical pipeline would include collecting data from different sources in different forms, preprocessing it and performing feature extraction from the data, splitting the data into testing and training data, and then applying Machine Learning models and predictions.
