How to Perform Linear Regression in Python in 7 mins using Jupyter Notebook

preview_player
Показать описание
How to Perform Linear Regression in Python in 7 mins using Jupyter Notebook.

These are Machine Learning 101 Lectures, so you can read ahead of the next tutorial.

Рекомендации по теме
Комментарии
Автор

Hi guys, thanks for being there! You could support my channel by buying me a coffee buymeacoff.ee/PWsXo7h13

KindsonTheTechPro
Автор

The most simplest and to-the-point explaination. The way you taught this, I wont be forgetting this method on regression ever.

inziify
Автор

Is it possible to calculate the r^2 value after creating the linear regression with the sklearn package? If so, how? Thanks!

VincentStevenson
Автор

Thank you very much for the straight forward method to do the linear regression. My question is that when my x and y have very long values, for example, 200 values, if there is any easy way to manually do the step 2?

liuyuhuang
Автор

Hello friend, my congratulations you have just won a university fan from Brazil. A big hug!

luizfelipemachadofariadeso
Автор

I find your explanation very clear to me. Please, I am struggling to import a data to the notebook. My data is from the web, what should I do? Please help me sir.
Looking forward to hearing from you soon.
Thanks

emmanuellonga
Автор

Really Good Dude!! Regards from Mexico!

adrianrs
Автор

This was super helpful! Could you please explain further like finding gradient descent cost function and predicting y

prateekyadav
Автор

Thank you for this video! It clearly explained how to perform Linear Regression and what the different components were.

matthewedgar
Автор

Kindston! U just saved a person from scavanging whole Web just to find how to implement linear Looking forward to attract more of the students from my uni to your channel!

princekansagra
Автор

Hi, the video was great I just had 1 question if you could kindly help me out. 'y_pred = why did you do predict(x) not predict(y). As for the other vids I have seen Y = the prediction value.

Saad-hizz
Автор

You have made this looks so simple. Thank you so much.

lsoro
Автор

I am going to pass my exam because of you. Thank you so much.

amatuluzma
Автор

Wow! Just found this more relevant than any other video on ML .

nyakundilamech
Автор

Very helpful, clear and easy to understand.

datalords
Автор

hi how to do it by file read and not just copy the data from .xml file??
like if i read my data.csv for my data and make scatter plot on it with linear regression??

analie
Автор

I like your simplicity and the way you explain.

FatherThomas
Автор

Hi, i just subscribed to your channel, i wanna know the real reason for performing linear regression. In my dissertation, i have an independent variable (Land Surface Temperature) and dependent variables as (Built-up (NDBI), Vegetation(NDVI)), do you think this approach is the best for estimating the correlation of my indices?

amabenuzoe
Автор

Just a Tip:
@3:51 You can Go under Edit option then Go to Find and Replace and copy paste the arrows and replace all with comma(, ) instead of manually changing them all

mohammedmudassirkhatri
Автор

My Original output
Output [5] : LinearRegression()

Expected output should be :

LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)

What I do now?

karuppaiahg