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 …
confusion matrix
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 …
7 Important Model Evaluation Error Metrics Everyone should know
Overview While predictive modelling is important, evaluating a model is extremely crucial as well Evaluating a model is achieved by checking error metrics like …
Simple Guide to Logistic Regression in R
Overview Get an introduction to logistic regression with R Logistic Regression is a popular classification algorithm used to predict a binary outcome There are …
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 …
