✨✨ Lecture : 02 [ Mastering Linear Regression in 1 video ] || FSMLC

Hi, Everyone and welcome, we have talked about all the things that are required for mastering an algorithm known as Linear regression, we have talked about the following:-

✨ Time Stamps ✨

Introduction : 00:00
Linear Regression : 02:55
Hypothesis Function : 08:23
Cost Function : 18 : 22
Normal Equation : 22:32
Batch Gradient Descent : 26:35
Implementation of Linear Regression From Scratch : 36:40
Implementation of Linear Regression with Scikit Learn : 38:02

✨✨ Important Links ✨✨

🔗 Jupyter Notebook in the form of HTML:- bit.ly/3dhjRYr

🔗 Jupyter Notebook in the form of PDF:- bit.ly/3dhjRYr

🔗 Jupyter Notebook in the form of ipynb. :- bit.ly/3dhjRYr

▶ This video is my part of FSMLC ( Full Stack Machine Learning Course ):-    • ML001 [ ML Free Course ]  

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