Incognition logo
Home
Learn
Practice
Leaderboard
0
VisualizationsCore Machine Learning

Statistics for Machine Learning

Click through seven stages, from messy raw data to the final test, and see how statistics spots outliers, rescales features and checks the model.

The Interactive Machine Learning Pipeline

Click stages to step through the pipeline and observe how statistics transforms raw inputs.

1. Raw Data
X (Feature Value)Y (Target Value)
Data is raw and unsorted. Notice the two outliers on the top-left and bottom-right edges.

Stage Concept & Details

What Enters this Stage:

Raw unprocessed measurements straight from sensors, database rows, or CSV imports.

What Changes / Mathematical Action:

No modifications yet. The data is simply organized into feature grids.

What Leaves:

An uninspected dataset.

Why Statistics Matters Here:Statistics allows us to design models by checking the distributions of inputs.
Customize