## Underfitting and Overfitting

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Total Views : 275   Underfitting : Underfitting is opposite to overfitting hence it will not work on training as well as test dataas it has not understood well. This is similar to scenario where a student gives exam with less preparation. To remove underfittingwe should give more data to the model so that it can…

## Introduction To Naive Bayes Algorithm

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Total Views : 173 , Today Views : 1  Objective Naive Bayes is a fast, easy to understand, and highly scalable algorithm. Understand the working of Naive Bayes, its types, and use cases. Introduction Naive Bayes is one the most popular and beginner-friendly algorithms that anyone can use. In this article, we are…

## Beginner at Kaggle

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Total Views : 208 , Today Views : 1  Hi Everyone, I, like most, am a Kaggle complete novice. It’s the best place to learn and develop your Data Science and Machine Learning skills through hands-on projects. Best Features of Kaggle are:- Machine Learning Competitions: This is why Kaggle is so popular. Look…

## How do you compare two lists in Python?

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Total Views : 558 , Today Views : 3  Lists are analogous to dynamically scaled arrays, and are declared in other languages (e.g., vector in C++ and Array List in Java). Lists do not have to be homogeneous all of the time, which makes it a very strong tool in Python. Data Types…

## Effect of Diaphragm Stiffness on Lateral-Load Distribution

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Total Views : 698 , Today Views : 1  The following Figure illustrates the effect of diaphragm stiffness on the distribution of lateral loads to the lateral-load-resisting elements. The building shown in the figure has three walls of equal lateral stiffness. If the diaphragm is essentially rigid in-plane and there is no torsion,…