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Tag: sklearn

K-fold cross-validation in Scikit Learn

Get introduced to the concept of K-fold cross validation, and understand its implementation in scikit learn with an example.

Published November 15, 2021
Categorized as Python Tagged cross, k-fold, python, sklearn, validation

Scikit Learn: Scaling of features

Learn why feature scaling is important and how to perform it using scikit learn. Also learn about the difference between the two most popular scalers.

Published November 9, 2021
Categorized as Python Tagged MinMaxScaler, scaler, sklearn, StandardScaler

Scikit learn: f1-weighted vs. f1-micro vs. f1-macro

Learn the difference between the three types of averages that you can get for f1 score for a multi-class classification problem: weighted, macro and micro.

Published October 29, 2021
Categorized as Python Tagged f1_score, python, sklearn

Train-validation-test split – Why and How

Train Validation Test Split

You’ve heard of train-test split in the context of ML. But what is train-validation-test split? Why is it required, and how to implement it in sklearn? Find out

Published October 26, 2021
Categorized as Python Tagged sklearn, split, test, train, validation

How to add custom distance metric in DBSCAN

Learn how to set the custom distance function and the metric params for that function in DBSCAN, for n-dimensional data.

Published August 28, 2021
Categorized as Python Tagged Custom, dbscan, distance, python, sklearn

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