Sweet, spicy, North or South? : Indian Cuisine Analysis
This article was published as a part of the Data Science Blogathon. Introduction Food brings people together, on many different levels! From ‘Chole Bhature’ …
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Accumulated Local Effects (ALE) – Feature Effects Global Interpretability
This article was published as a part of the Data Science Blogathon. This article happens to be a continuation of my last article on …
Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution
This article was published as a part of the Data Science Blogathon. “The biggest religion in the world is not even a religion.” – …
Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case.
This article was published as a part of the Data Science Blogathon. Introduction This Article Covers the use of an Explainable AI framework(Lime, Shap) …
A comprehensive guide to Feature Selection using Wrapper methods in Python
This article was published as a part of the Data Science Blogathon. Introduction In today’s era of Big data and IoT, we are easily …
Time Series Forecasting using Facebook Prophet library in Python
This article was published as a part of the Data Science Blogathon. Introduction Any data associated with the time that is dependent on time-related …
The Mathematics Behind Support Vector Machine Algorithm (SVM)
This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about …
Data Science Blogathon Winners are Here and Announcing Blogathon 2!
The Data Science Blogathon is Over! Long Live the Data Science Blogathon II! Take a deep breath. The first Data Science Blogathon was an …
Build an End to End Image Classification/Recognition Application
This article was published as a part of the Data Science Blogathon. Introduction In the recent years, face recognition applications have been developed on …
Demystification of Logistic Regression
Overview Understand the limitations of linear regression for a classification problem, the dynamics, and mathematics behind logistic regression. Understand how GLM is used for …
