Description: Join Austin to examine data exploration, a critical step in the machine learning process. Learn to analyze and understand the structure, patterns, and relationships within a model dataset before building models, ensuring the data is suitable for use.
Module Type: Foundational
Level: Beginner
Audience: All
Prerequisites: "Introduction to Machine Learning" & "Supervised Learning" module
Run time: ~12 minutes
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:15 - Intro to Data Exploration
04:07 - Data Statistics
- 04:54 - Data Statistics: Descriptive Stats
- 06:20 - Data Statistics: Distribution Analysis
- 07:02 - Data Statistics: Measures of Dispersion
- 07:53 - Data Statistics: Correlation Analysis
08:14 - Visual Exploration
09:36 - Data Quality Checks
11:15 - Conclusion & Thanks
The module transcription is attached below as a pdf.
Comments
0 comments
Please sign in to leave a comment.