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Practical Machine Learning with Python
Submission navigation links for Knowledge Base Resources
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Submission information
Submission Number:
271
Submission ID:
4140
Submission UUID:
babfc2b6-b6bd-479e-b0d3-544a7d424307
Submission URI:
/form/resource
Created:
Wed, 10/04/2023 - 13:42
Completed:
Wed, 10/04/2023 - 13:42
Changed:
Fri, 03/14/2025 - 11:43
Remote IP address:
139.147.197.70
Submitted by:
Imaan Ali
Language:
English
Is draft:
No
Webform:
Knowledge Base Resources
Approved
Yes
Title
Practical Machine Learning with Python
Category
Video
Tags
machine-learning
,
programming
,
python
Skill Level
Advanced
Description
This video series provides a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms. It covers topics such as linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks. Goes over the high level intuitions of the algorithms and how they are logically meant to work. Apply the algorithms in code using real world data sets along with a module, such as with Scikit-Learn.
Link to Resource
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
Domain
ACCESS CSSN
,
Campus Champions
,
CAREERS
,
CCMNet
,
Great Plains
,
Kentucky
,
Northeast