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  Logistic Regression in Python – Real Python

  

  realpython.com

  Logistic Regression in Python In this step-by-step tutorial, you’ll get started with logistic regression in Python. Classification is one of the most important areas of machine learning, and logistic regression is one of its basic methods. You’ll learn how to create, evaluate, and apply a model to make predictions. REAL PYTHON

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• Issue #403 (Jan. 14, 2020)

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• Scipy Lecture Notes: Tutorial Material on the Scientific Python Ecosystem

  

  scipy-lectures.org

  Scipy Lecture Notes: Tutorial Material on the Scientific Python Ecosystem SCIPY-LECTURES.ORG

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  Split Your Dataset With scikit-learn’s train_test_split()

  

  realpython.com

  Split Your Dataset With scikit-learn’s train_test_split() In this tutorial, you’ll learn why it’s important to split...

  Split Your Dataset With scikit-learn’s train_test_split() In this tutorial, you’ll learn why it’s important to split your dataset in supervised machine learning and how to do that with train_test_split() from scikit-learn. REAL PYTHON

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  How to Calculate Feature Importance With Python

  

  machinelearningmastery.com

  How to Calculate Feature Importance With Python “Feature importance scores play an important role in a...

  How to Calculate Feature Importance With Python “Feature importance scores play an important role in a predictive modeling project, including providing insight into the data, insight into the model, and the basis for dimensionality reduction and feature selection that can improve the efficiency and effectiveness of a predictive model on the problem. In this tutorial, you will discover feature importance scores for machine learning...

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