### Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data …

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This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data …

This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!! So you have successfully built your classification model. What should …

This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted the outcomes, …

AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and validate how …

Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library …

Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but …

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …

Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn machine learning …

Introduction We have several machine learning algorithms at our disposal for model building. Doing data based prediction is now easier like never before. Whether …

Overview Get an introduction to logistic regression using R and Python Logistic Regression is a popular classification algorithm used to predict a binary outcome …

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