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Senior Data Scientist at Capgemini

This article covers how and when to use  k-nearest neighbors classification with scikit-learn. Focusing on concepts, workflow, and examples. We also cover distance metrics and how to select the best value for k using cross-validation.

K-Nearest Neighbors (KNN) Classification with scikit-learn 

In this tutorial, learn Decision Tree Classification, attribute selection measures, and how to build and optimize Decision Tree Classifier using Python Scikit-learn package.

Decision Tree Classification in Python Tutorial

Data Scientist | Copywriter | Editor 

Learn about data augmentation techniques, applications, and tools with a TensorFlow and Keras tutorial.  

A Complete Guide to Data Augmentation

Data Scientist

This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.

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Machine Learning Tutorial

Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN