Mastering Multiple Linear Regression in Scikit-Learn: A Step-by-Step Guide
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- เผยแพร่เมื่อ 5 ก.ย. 2024
- Welcome to our comprehensive guide on Multiple Linear Regression! 📈 In this tutorial, we'll dive deep into the world of statistical analysis and predictive modeling using multiple linear regression. Whether you're a beginner looking to learn the fundamentals or an experienced data scientist aiming to refine your skills, this video has something for everyone
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dude, this is awesome!! i've been learning machine learning to pursue a data analytics career and I've been taking some classes online, but none have gone too in depth when it comes to multiple independent variables. your coding is clean and your instructions are so thorough and precise! thanks so much for making this video!
Hey no problem I’m glad this helped. Best of luck in the journey
hey, man. i am from nigeria, africa. i am still in my learning phase of data science. no job, yet :)
from the depth of my heart, i want to thank you for offering such immerse value. it's not easy, definitely, to churn out videos of this high quality and also, explain simply and with a high level of astuteness. your efforts and labours are not in vain. thank you once again
No problem best of luck with the job hunt
Hey how would you do it if the data was non linear? Meaning you’d have to use a polynomial with degree?
Your tutorials are very good, thank you!
I appreciate it
Hey man, quality lectures. Love them. It'd great if you could rearrange the playlist a bit so as to provide a better flow and sequence of lectures.
Off-Topic but i think there are better suited hairstyles for you. Why don't you try a fade? That'd look far better imho.
Which playlist are you looking at?
@@RyanAndMattDataScience Data Science Bootcamp. It is fairly well-sequenced, but could be improved for people who are new to the whole Data Science or ML bit.
Does multiple regression work when you are trying to explain a factor using other factors rather than predicting??
It’s used when there are multiple factors going into a prediction. Although imo not the best model
High display quality of the 'code environment V
Another great video! In following your tutorial exactly: from sklearn.linear_model import LinearRegression; lr = LinearRegression(), and then lr.fit(X_train, y_train). I am getting a "name 'ir' is not defined" error. Do you know a quick why? Thanks!
"name 'lr' is not defined"