Python

Python-based Minimum Detectable Effect (MDE)

In this tutorial, we explore how to calculate Minimum Detectable Effect (MDE) using Python. This guide introduces you to the concept of MDE in A/B testing, providing a step-by-step approach with code examples, making it easy to determine the smallest change that can be statistically detected in your experiments. Minimum-Detectable-Effect-(MDE)-Using-Python The Approach can be discussed …

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For identifying similarities between strings in two CSV files

In this tutorial, we will learn how to match the strings in large datasets When working with huge datasets, especially in cases where data comes from different sources, it’s common to encounter slightly different versions of the same string. This post will guide you through performing fuzzy matching to identify and link similar strings between …

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Match two strings with matching score using Machine Learning in python

In this tutorial we will learn how to match two strings with matching score using Machine Learning in python. In many situations you might require this type of question. let’s see how to solve this question… Match two strings with matching score using Machine Learning in python here we see the step-by-step explanation for calculating …

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Hierarchical Clustering in Python: A Comprehensive Guide

Algorithms such as Hierarchical Clustering belong to unsupervised machine learning and are used for clustering data objects into cluster. However, it is not necessitated to mention the number of clusters a prior just like K-means clustering; rather it builds hierarchical groups. Therefore, one can observe the result by plotting it as a dendrogram. This method …

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