Machine Learning Practice Lectures
Overview & Synopsis
This lecture note
covers the following topics: Server Configuration, Python Overview, Pandas and
Numpy, Classifiers, Regression, Cross-Validation, Logistic Regression, Support
Vector Machines, Decision Trees, Ensemble Methods, Principal Component Analysis,
Embedding Methods, Clustering, Semi-Supervised Learning.
Indexed from repository: FreeBookCentre
(
freebookcentre.net)
Document Information
| Document Title | Machine Learning Practice Lectures |
|---|---|
| Author / Organization | Andrew H. Fagg |
| Categories | Assembly Language |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
FreeBookCentre
(freebookcentre.net)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-309965 |
| Original Source Link | Visit Source Page on freebookcentre.net » |