Confusion Matrix: Detailed intuition and trick to learn
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction What is the first measure coming into your mind …
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Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using …
How to Choose Evaluation Metrics for Classification Models
ArticleVideo Book This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!! So you have successfully built your classification model. …
Confusion Matrix Is No More A Confusion for Data Science Aspirants!
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted …
AUC-ROC Curve in Machine Learning Clearly Explained
ArticleVideo Book AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and …
7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science
ArticleVideo Book Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master …
Everything you Should Know about Confusion Matrix for Machine Learning
ArticleVideo Book Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really …
11 Important Model Evaluation Metrics for Machine Learning Everyone should know
ArticleVideo Book Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion …
40 Interview Questions asked at Startups in Machine Learning / Data Science
ArticleVideo Book Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn …
Practical Guide to deal with Imbalanced Classification Problems in R
ArticleVideo Book Introduction We have several machine learning algorithms at our disposal for model building. Doing data based prediction is now easier like never …
