Image by Alina Grubnyak on Unsplash

Image by Joshua Coleman on Unsplash
  1. With more variables, data visualization becomes difficult.
  2. All the variables might not be important for a particular business problem.
  3. More complex models as the model tries to learn from all of the variables, with more computation time.
  4. Exploratory Data Analysis becomes difficult.

Understanding how to think statistically by discussing two examples.

Image by Pop & Zebra on Unsplash


Part 2 in a series exploring different methods to evaluate machine learning models.

Image by Chris Liverani on Unsplash
| Actual Value | Predicted Value | Error…

Exploring different methods to evaluate Machine Learning models for classification problems.

Image by Luke Chesser on Unsplash

Confusion Matrix

Shubham Dhingra

Continuous improvement is better than delayed perfection. -MT

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store