Variable Encoding in Machine Learning

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In this video, you will learn how to transform categorical variables into numeric values in Python using the LabelEncoder class from scikit-learn library.
Watch the full video which covers all the following topics

Introduction to Logistic Regression
Data Preparation for Logistic Regression
Encoding categorical variables using LabelEncoder for scikit-learn
Standardize and normalize the data points using StandardScaler
Split the data into training and testing sets using train_test_split
Train the model using the LogisticRegression class scikit-learn library
Predict the test dataset
Evaluate the model performance using precision, recall, f1-score from sckit-learn metrics module

Save and Deploy the model using the Pickle library

Test the model using the new test dataset

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