Скачать или смотреть Standard Scaler in Machine Learning

In this tutorial, you will learn how to standardize or normalize the feature values in Machine learning with standardscaler method.
I covered the following:

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

Learn about Pickle here:    • Pickle Tutorial - How to save data into Pi...  
Learn more about Linear Regression with a real-world example:    • Machine Learning Tutorials  


-----------------------------------------------------------------------------------
💰Donate to us at https://donorbox.org/donate-epythonlab

Join this channel to get exclusive access:
https://bit.ly/363MzLo
----------------------------------------------------------------------------------
Join the discussion groups:

💻 Telegram: https://epythonlab.t.me/

💻 Facebook:   / epythonlab  

💻 Twitter:   / epythonlab  
-----------------------------------------------------------------------------------
COME AGAIN!
-----------------------------------------------------------------------------------