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🌟Machine Learning code example - 19: How to convert string categorical variables into numerical variables using Label Encoder?


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How to convert string categorical variables into numerical variables using Label Encoder?

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## How to convert string categorical variables into numerical variables using Label Encoder
def Kickstarter_Example_78():
    print()
    print(format('How to convert strings into numerical variables using Label Encoder','*^82'))

    import warnings
    warnings.filterwarnings("ignore")

    # load libraries
    import pandas as pd
    from sklearn.preprocessing import LabelEncoder

    # Create dataframe
    raw_data = {'patient': [1, 1, 1, 2, 2],
                'obs': [1, 2, 3, 1, 2],
                'treatment': [0, 1, 0, 1, 0],
                'score': ['strong', 'weak', 'normal', 'weak', 'strong']}........
.
.
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