Machine Learning – Logistic Regression using Scikit-Learn – Part 2

In Part-2 of this article series covering classification, we will get our hands dirty with Logistic Regression using Scikit-Learn. We will use the Heart Failure clinical records data set from UCI to predict death event.

Here is the link to the article:

Machine Learning – Logistic Regression using Scikit-Learn – Part 2

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Machine Learning – Regularization using Scikit-Learn – Part 6

In Part-6 of this article series, we will get our hands dirty with the Regularization techniques using Scikit-Learn. We will cover the three popular regularization techniques – LASSO, Ridge, and Elastic Net.

Here is the link to the article:

Machine Learning – Regularization using Scikit-Learn – Part 6

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Machine Learning – Understanding Regularization – Part 5

In Part-5 of this article series, we will introduce the concepts around Regularization. We will explain the details behind the three popular regularization techniques – LASSO, Ridge, and Elastic Net.

Here is the link to the article:

Machine Learning – Understanding Regularization – Part 5

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Machine Learning – Understanding Bias and Variance – Part 4

In Part-4 of this article series, we will introduce the key concepts around Bias and Variance and get a mathematical intuition around it. In addition, we get our hands dirty with a demo using the popular Python machine learning library Scikit-Learn.

Here is the link to the article:

Machine Learning – Understanding Bias and Variance – Part 4

Enjoy 🙂 !!!