Interpreting Machine Learning datasets

Offered By
Coursera Project Network
In this Free Guided Project, you will:

Interpreting datasets with respect to single and multiple feature and their impact on target

Showcase this hands-on experience in an interview

Clock2 Hours
BeginnerBeginner-friendly
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 2-hour long project-based course, you will learn how to interpret the dataset for machine learning, how different features impact on a mode and how to evaluate them.

Requirements

Good knowledge of Python and machine learning algorithms

Skills you will develop

RankingAnalyticsData Analysisinterpreting featuresPCA

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Ranking the feature

  2. Radial & Joint Plots

  3. Feature importance

  4. Projecting PCA

  5. Balance Binning

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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