Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com *Both Datacamp and Stratascratch are affiliate links.
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
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 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.
@@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.
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!
Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg
If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg
Want to solve Python data interview questions: stratascratch.com/?via=ryan
I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com
*Both Datacamp and Stratascratch are affiliate links.
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
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
You're unreal man!!! Thanks!!!
Hey how would you do it if the data was non linear? Meaning you’d have to use a polynomial with degree?
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
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.
how to plot the linear regression for multidimentional data?
bc we want to see the outliers
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"