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|File Name:||Beginners Guide To Machine Learning – Python, Keras, Sklearn|
|Genre / Category:||Programming|
|File Size :||697MB|
|Updated and Published:||January 09, 2023|
In this course, we will cover the foundations of machine learning. The course is designed to not beat around the bush, and cover exactly what is needed concisely and engagingly. The content found in this course is essentially the same content that can be found in a University level machine learning module. Through the use of entertaining stories, professionally edited videos, and clever scriptwriting, this course allows one effectively absorb the complex material, without experiencing the usual boredom that can usually be experienced when trying to study machine learning content.
The course first goes into a very general explanation of machine learning. It does this by telling a story that involves an angry farmer and his missing donuts. This video sets the foundation for what is to come.
After a general understanding is obtained, the course moves into supervised classification. It is here that we are introduced to neural networks through the use of a plumbing system on a flower farm.
Thereafter, we delve into supervised regression, which is explained with the help of a quest to find the most optimally priced real estate in town.
We then cover unsupervised classification and regression by using other farm-based examples.
This course is probably the best foundational machine learning course out there, and you should definitely give it a try!
DOWNLOAD LINK: Beginners Guide To Machine Learning – Python, Keras, Sklearn
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