Machine Learning Random Forest with Python from Scratch - Importing Data, Helper Functions

The video tutorial covers importing a dataset using pandas, preparing it by converting it into a list, and randomly shuffling it to ensure unbiased training and testing. It then demonstrates splitting the data into training and testing sets. The tutorial also includes writing helper functions to identify unique values, count class occurrences, and check for numeric values, which will be used in later stages of implementing a decision tree.

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