Practical Machine Learning with Python

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
Yes
Practical Machine Learning with Python
Video
Advanced
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.
machine-learning, programming, python
ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast
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