Machine Learning basics

In Jupyter Notebook, the command import pandas as pd is required to load a CSV file.

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In machine learning, the input features (X) and the target variable (y) must be separated before training the model.

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A machine learning model can be trained effectively without splitting the dataset into training and testing sets.

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Once the dataset is imported, you can train a Decision Tree / Random Forest model without converting categorical data into numerical format.

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Once a machine learning model is trained, it will always make perfect predictions on new data.

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