7.1.1. Linear Regression - Intuition | Machine Learning Models
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- Опубліковано 14 жов 2024
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. In this video, I explained what is meant by a Linear Regression model, and how to understand it in a better way. You will be able to understand the intuition behind Linear Regression by watching this video.
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Honestly one of the best video to understand the concepts. I wish if you could explain a bit more math like coefficient, square values etc would be helpful.
Hi Siddhardhan,
There are many such You-Tube videos explaining similar concepts on ML for eg. Linear Regression and other topics. A request to you kindly take up Linear Regression explaining concepts like:
a) Forward Propagation
b) Backward Propagation
c) Stepwise Propagation
d) Interpreting models AIC & BIC
e) Using StatsModels Lib to explain ML Algorithm for eg. Linear Regression.
Personally believe focus should also be on achieving Techno-Functional clarity vis-a-vis ML Algorithmic concepts especially those who are from Functional side or with Domain expertise.
Best Video i found to understand this concept...You are so good Teacher
you are the great bro.....thankyou for providing this best contents
Thanks for everything you do 🙏
But multiple linear regression (polynomial regression) works well on non linear data right ? Or we have to use some other ml algorithms for non linear data with multiple features ( 7 features) instead of polynomial regression ? Just wanted your opinion. Thank you for your videos.
@Siddhardhan sir What should I choose if there's no linear relationship in our dataset..?how can I find this relationship..?
Correlation matrix can give u a slight idea on the relationship.
Hi can you make one video for implementation of resnet101
hey, how can i get a link to download the salary data set, so as to be able to pratice with it
Hi bro can you please make video on random forest and ensemble types
Welcome Back mate
Thanks 😇
amazing!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!11
in university they teach that 30 mins video in 3 months
Such a great work, appreciate 👍