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Evaluating A Classification Model for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation. The post Evaluating A Classification Model for Data Science appeared first on Analytics Vidhya.

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20 Basic Linux Commands for Data Science in 2024

Analytics Vidhya

Introduction Linux, the operating system favored by data science professionals, offers flexibility, power, and open-source tools. As a data science beginner, mastering the Linux command line is a key step towards empowering yourself in data manipulation, analysis, and modeling.

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Topic Modeling: Predicting Multiple Tags of Research Articles using OneVsRest strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Recently I participated in an NLP hackathon — “Topic Modeling for Research Articles 2.0”. The post Topic Modeling: Predicting Multiple Tags of Research Articles using OneVsRest strategy appeared first on Analytics Vidhya.

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Understanding Generalized Additive Models (GAMs): A Comprehensive Guide

Analytics Vidhya

Introduction Generalized Additive Models (GAMs) constitute a powerful framework in data science, capable of discovering complex relationships within data. Understanding GAMs is crucial for anyone navigating intricate data patterns, as they offer a unique approach to modeling non-linear dependencies.

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Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction According to Haines and Crounch, mathematical modelling is a process. The post Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model appeared first on Analytics Vidhya.

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c Part 3: Model Deployment and Model Monitoring

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article is part of blog series on Machine Learning Operations(MLOps). In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering.

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Supervised Topic Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Topic models, an essential part of Natural Language Processing (NLP) workflows, can be used in multiple and diverse fields. The post Supervised Topic Models appeared first on Analytics Vidhya.

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