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What is Bagging in Machine Learning?

Analytics Vidhya

Introduction In the field of machine learning, developing robust and accurate predictive models is a primary objective. Ensemble learning techniques excel at enhancing model performance, with bagging, short for bootstrap aggregating, playing a crucial role in reducing variance and improving model stability.

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ML-trained Predictive model with a Django API

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: Machine Learning (ML) and data science applications are in high demand. Integrating machine learning algorithms for inference into production systems is a technological barrier. The ML algorithms, on […].

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Building Customer Churn Prediction Model With Imbalance Dataset

Analytics Vidhya

The amount of data is insufficient until it does not reflect or we cannot find meaningful information that can drive business […] The post Building Customer Churn Prediction Model With Imbalance Dataset appeared first on Analytics Vidhya.

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Building Predictive Models: Logistic Regression in Python

KDnuggets

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a Read more »

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Predictive Modelling | Rain Prediction in Australia With Python.

Analytics Vidhya

ArticleVideo Book Introduction: In this article, I will be implementing a predictive model on Rain Dataset to predict whether or not it will rain. The post Predictive Modelling | Rain Prediction in Australia With Python. appeared first on Analytics Vidhya.

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Adversarial Validation- Improving Ranking in Hackathon

Analytics Vidhya

Introduction Often while working on predictive modeling, it is a common observation that most of the time model has good accuracy for the training data and lesser accuracy for the test data.

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Introduction to Predictive Modeling | Domino

Domino Data Lab

When you hear words like machine learning (ML) or artificial intelligence (AI), one of the first things that comes to mind is correctly predicting future occurrences or answering difficult questions about the present based on past events. At its core, this is what predictive modeling is all about.