Cross Validation in Machine Learning with Examples
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6 ماه پیش
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00:00
00:00 – cross validation
03:00 – example
Cross-validation is a statistical method used in machine learning and data science to assess the performance of a model and ensure that it generalizes well to unseen data.
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03:00 – example
Cross-validation is a statistical method used in machine learning and data science to assess the performance of a model and ensure that it generalizes well to unseen data.
👉Subscribe to our new channel:@varunainashots
Other subject playlist Link:
--------------------------------------------------------------------------------------------------------------------------------------
►Theory of Computation
TOC(Theory of Computation)
►Operating System:
Operating System (Complete Playlist)
►Database Management System:
DBMS (Database Management system) Com...
►Computer Networks:
Computer Networks (Complete Playlist)
►Artificial Intelligence:
Artificial Intelligence (Complete Pla...
►Computer Architecture:
Computer Organization and Architectur...
►Design and Analysis of algorithms (DAA):
Design and Analysis of algorithms (DAA)
►Structured Query Language (SQL):
Structured Query Language (SQL)
---------------------------------------------------------------------------------------------------------------------------------------
Our Social Media:
► Subscribe us on YouTube-gatesmashers
► Like Our page on Facebook - Facebook: gatesmashers
► Follow us on Instagram-Instagram: gate.smashers
--------------------------------------------------------------------------------------------------------------------------------------
►A small donation would help us continue making GREAT Lectures for you.
►Be a Member & Give your Support on bellow link : @gatesmashers
►UPI: gatesmashers@apl
►Paypal Account: paypal.me/GSmashers
►For any other Contribution like notes pdfs, feedback, suggestion etc
[email protected]
►For Bussiness Query
[email protected]
6 ماه پیش
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است.
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