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Devyani Chavan

@leonian

Joined April 2024

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Devyani Chavan's blogs

Devyani Writesdevyanichavan.hashnode.dev10 posts

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The Complete Guide to Matplotlib: From Fundamentals to Advanced Visualization

Feb 25 · 7 min read · Introduction to Matplotlib If you work with Python for data analysis, scientific computing, or machine learning, mastering Matplotlib is not optional, it is foundational. Matplotlib is the core visual

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Elastic Net Regression

Feb 24 · 4 min read · Before understanding Elastic Net, let’s briefly recall what we learned about Ridge and Lasso. Regularization helps prevent overfitting by adding a penalty term to the loss function. It controls model

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Lasso Regression

Feb 23 · 7 min read · Before understanding Lasso Regression, let’s first understand Regularization. What is Regularization? Regularization means we regulate or constrain the model so that it does not overfit. In simple wor

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Ridge Regression

Feb 22 · 8 min read · Before we start with Ridge Regression, let's first understand Regularization. Regularisation means we regulate the model so it will not overfit. Hence, you can simply define regularisation has set of

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Logistic Regression(Sigmoid Function)

Jul 26, 2024 · 5 min read · In the previous article, we discussed the perceptron trick. However, when we compared the result with the logistic regression model of sklearn we saw that sklearn model performs better. Infact, you ca

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Devyani Chavan

About

Available for

Devyani Chavan's blogs

Recently published

The Complete Guide to Matplotlib: From Fundamentals to Advanced Visualization

Elastic Net Regression

Lasso Regression

Ridge Regression

Logistic Regression(Sigmoid Function)

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Devyani Chavan

About

Available for

Devyani Chavan's blogs

Recently published

The Complete Guide to Matplotlib: From Fundamentals to Advanced Visualization

Elastic Net Regression

Lasso Regression

Ridge Regression

Logistic Regression(Sigmoid Function)