AUC-ROC Curve in Machine Learning Clearly Explained
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 …
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7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science
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 …
Everything you Should Know about Confusion Matrix for Machine Learning
Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but …
11 Important Model Evaluation Metrics for Machine Learning Everyone should know
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, …
40 Interview Questions asked at Startups in Machine Learning / Data Science
Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn machine learning …
Practical Guide to deal with Imbalanced Classification Problems in R
Introduction We have several machine learning algorithms at our disposal for model building. Doing data based prediction is now easier like never before. Whether …
Simple Guide to Logistic Regression in R and Python
Overview Get an introduction to logistic regression using R and Python Logistic Regression is a popular classification algorithm used to predict a binary outcome …
Model performance metrics: How well does my model perform? – Part 1
In case you are preparing for an analytics interview, you have hit a jackpot. This blog will give you answers to at least 2 …
