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How to Implement Multiple Linear Regression in Python From Scratch 

Greg Hogg
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The Notebook: colab.research.google.com/dri...
The Previous Video (not required): • How to Implement Simpl...
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31 июл 2024

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Комментарии : 30   
@GregHogg
@GregHogg 11 месяцев назад
Take my courses at mlnow.ai/!
@kreativeworld2073
@kreativeworld2073 Год назад
I would prefer not using the word "from scratch" in the title of the videos as this video is not for newbies to the ML who want to code linear regression model and you are using build in one....
@hmm31415
@hmm31415 Год назад
indeed
@anthonychung2907
@anthonychung2907 Год назад
what to do if the x-axis is time series ?
@relaxingsounds604
@relaxingsounds604 4 месяца назад
if i have a sample (e.g., ftse100) and I have 10 years worth of data for each of my variables: do i need to do 10 separate regressions (for each year); or, take average (of yearly data points) over 10 years and do a single one. OR, could I somehow do a single regression whilst including all data points ??
@arsheyajain7055
@arsheyajain7055 2 года назад
Awesome!!!
@GregHogg
@GregHogg 2 года назад
Woot!!!
@dr.satyendrasingh5576
@dr.satyendrasingh5576 Год назад
Awesome video... thanks👍
@GregHogg
@GregHogg Год назад
You're very welcome!!
@LostGirlAt22
@LostGirlAt22 Год назад
Thank you so much for this video
@GregHogg
@GregHogg Год назад
Very welcome!
@zhengyangfei5599
@zhengyangfei5599 Год назад
Here, we manually checked the correlation and eliminated those that are not significant. Is there any way to implement an algorithm that does it for us?
@GregHogg
@GregHogg Год назад
Yeah there's an algorithm for everything really haha
@aondonguaddai1207
@aondonguaddai1207 2 года назад
Awesome, I am having a challenge, after running the last part of the code (sklearn_model = LinearRegression().fit(X_train,y_train) sklearn_y_prediction = sklearn_model.predict(X_train) it keeps on giiving me this error () sklearn_y_prediction.shape) (Input contains NaN, infinity or a value too large for dtype('float64'). I have checked to see if the are any NaN values but there are none
@GregHogg
@GregHogg 2 года назад
Have you made sure of this by removing all of the null rows in the data frame with df = df.dropna()?
@aondonguaddai1207
@aondonguaddai1207 2 года назад
@@GregHogg Yes just did and it works fine now. thanks.
@GregHogg
@GregHogg 2 года назад
@@aondonguaddai1207 Awesome
@MrGatward
@MrGatward Год назад
So is it true that f(x1, x2, x3) = p1x1 + p2x2 + p3x3 where pi is the ith value of the prediction model?
@MrGatward
@MrGatward Год назад
And how do you know what pi is? Thanks
@lewismurigi3623
@lewismurigi3623 4 месяца назад
@GregHogg Thank you Sir. You have really helped me to do my Exam today. More Blessing Sir
@hannukoistinen5329
@hannukoistinen5329 Год назад
If you want to be a Data Scientist in Python, forget it!! R is the tool for REAL data science/analytics!
@amoghmbabu6507
@amoghmbabu6507 Год назад
great video !!!
@GregHogg
@GregHogg Год назад
Thank you.
@polusanisriman8424
@polusanisriman8424 Год назад
@@GregHogg Your video is misleading.. From scratch means building regressor object which can do normalization, gradient descent, predict values from answer, accuracy visualization etc etc using Numpy and Matplotlib. EQUATIONS!!!!
@zsnowboardern9332
@zsnowboardern9332 9 месяцев назад
i am confused. why do we want to do complicated things when we can do simple things please send me your thoughts. this video is great with all the explanations
@deepeshjha9502
@deepeshjha9502 3 месяца назад
Bro ruined the whole video just by importing the model.
@GregHogg
@GregHogg 3 месяца назад
Looking back on this video, I completely 100% agree. I think I forgot in the middle that I was supposed to do that part in numpy
@faisalsal1
@faisalsal1 7 месяцев назад
Jump to 1:49 to skip bla bla bla ...
@tiagosilva856
@tiagosilva856 Год назад
where is the dataframe?
@jacklinetum5460
@jacklinetum5460 Год назад
Hi , Check on the spelling of dataframe. It should be DataFrame. Not Dataframe
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