More articles in Structured Data

Accumulated Local Effects (ALE) – Feature Effects Global Interpretability

We will discuss the feature importance technique- Accumulated Local Effects (ALE). This article uses a house price prediction example.

Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case.

Explainable AI(Lime and Shap) can help in making our black-box model more interpretable to the businesses and can be used with any algorithm

A comprehensive guide to Feature Selection using Wrapper methods in Python

In this article we will see wrapper feature selection method and how to use it with practical implementation in Python

Perform Regression Analysis with PyTorch Seamlessly!

In this article we are going to understand how to do perform linear regression using PyTorch in Python.

Examining the Simple Linear Regression method for forecasting stock prices using Excel

Linear Regression is one of the simplest ways to make predictions. In this article, we are forecasting stock prices of Infosys in Excel.

Ultimate Beginner’s Guide to Win Classification Hackathons with a Data Science Use Case

Global Model Interpretability Techniques for Black Box Models

An interpretable model that makes sense is far more trustworthy than an opaque one as the degree of predictness decreases.

What does not get discussed about analysis: Chaos to order

In this article we will discuss about what are the essential things in data science that we don't talk about much after getting the data

Feature Selection in Machine Learning

Comprehensive guide to the most popular feature selection techniques used in machine learning, covering filter, wrapper, and embedded methods

The Complete Guide to Checking Account Churn Prediction in BFSI Domain

A complete guide to checking account churning in the BFSI domain. Discover the factors should be taken when building a Churn prediction model