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.
👉Subscribe to our new channel: / @varunainashots
Other subject playlist Link:
--------------------------------------------------------------------------------------------------------------------------------------
►Theory of Computation
• TOC(Theory of Computat...
►Operating System:
• Operating System (Comp...
►Database Management System:
• DBMS (Database Managem...
►Computer Networks:
• Computer Networks (Com...
►Artificial Intelligence:
• Artificial Intelligenc...
►Computer Architecture:
• Computer Organization ...
►Design and Analysis of algorithms (DAA):
• Design and Analysis of...
►Structured Query Language (SQL):
• Structured Query Langu...
---------------------------------------------------------------------------------------------------------------------------------------
Our Social Media:
► Subscribe us on KZitem- / gatesmashers
► Like Our page on Facebook - / gatesmashers
► Follow us on 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
gatesmashersconribution@gmail.com
►For Bussiness Query
gatesmashers2018@gmail.com
Негізгі бет Cross Validation in Machine Learning with Examples
Пікірлер: 20