Simple Linear Regression in Python - sklearn

There is a mistake in the video at 00:41 where I said Y is the independent and X is the dependent variable. It should be X is the independent and Y is the dependent variable. Sorry for this mistake.
If you missed my last video on the concept of simple linear regression, feel free to check that out here:
• Simple Linear Regressi...
If you are interested in learning to code the simple linear regression algorithm from scratch, feel free to visit this link:
regenerativetoday.com/how-to-...
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#linearRegression #machinelearning #datascience #dataAnalytics #python #sklearn

[@bwenenzams4487]

Thank you so much for this incredible linear regression concept. I have been struggling to understand the cording aspect but you just made my day. Everything was just so easy with simple and explanatory codes.

[@eevibessite]

kzbin.info/www/bejne/iaCWi2B-qZukgZo

[@ChauhanAshish001]

Hands down to the best tutorial for linear regression implementation in python not even code with harry can compete😊

[@dauntless4498]

One of the best ML linear regression I have ever seen. Thank you so much. This channel should have wider reach.

[@eevibessite]

kzbin.info/www/bejne/iaCWi2B-qZukgZo

[@rosepearl2880]

That was an amazing video , i have been struggling for three days finally i found a solution Thank you so much!!

[@ThobelaGoge]

This channel is super under-rated

[@anis.ldx1]

Awesome content! Thank you so much for simplifying the explanation!

[@stevenlomon]

Inifinite thank yous for this!!! Straight to the point and beautifully explained

[@Hello_am_Mr_Jello]

♾️

[@chiragahlawat465]

Thank you Mam you taught me linear regression in very simple and expert way!! I saw many videos and you will be amazed to know that you are the BEST!!

[@annikkiollila5104]

Thank you, this was really helpful and straight to the point!

[@thisisamitrathore]

You deserve more subscribers.

[@AshishAcharjee]

So, beautifully explained ...Thanks a lot

[@mayankjindal8908]

Really simple and clear tutorial ⭐⭐

[@DreamAndDancewithDeeptiD3]

amazing explanation. THANKYOU

[@arpit1559]

Thank you so much, u really explained everything so well

[@anthonychung2907]

what to do if the x-axis is time series ?

[@godza4735]

I am struggling to learn testing and training data can you make some video to better understanding how it takes data i like your explaining.

[@hadikh4261]

Thank you for your nice video; really I need a simple explanation to learn it.

[@orkhanahmadov9963]

thank you for amazing explanation

[@farnazkhoshkhoo6373]

thank you! how to know p_value and if the coefficient is significant or not?

[@bigdata3554]

thank you so much for this tutorial, very helpful! would you be willing to assist with a program i'm writing? Python will not read the .CSV file

[@user-er9yd3ie4w]

Thanks , well pressented

[@behailumideksa5705]

how to fix this problem ValueError: could not convert string to float: 'van'

[@DONOTREPLY-gw1pq]

you are genius mam

[@iamshaguftanaz4165]

The dataset I am working with consists of two columns, X and Y where the function Y changes for increasing values of the X variable. If Y shows variations with X, the simplest way to do this is by fitting the data with a linear function. but how can i find pattern in my data ? how can i analyse for what value of x , y shows changes because c=15 , m=(_339)

[@regenerativetoday4244]

Please try some other models. You can start with Polynomial regression. Here you will find my tutorials on some other machine learning models as well.

[@AfranEjaj007]

Awesome

[@Essentialenglishwords-ii7ek]

could yo please share the data so we cold train on it

[@trianajhonattan]

Thanks, I undestand better.

[@nadafarhan464]

you are amazing

[@Br4ndzzz]

When I try and plot the train model prediction and the test model predictions like you did at the end, I get an error saying "unhashable type: 'numpy.ndarray' " I'm not sure what's going on.

[@regenerativetoday4244]

Check the dimension of your array. If its 2D, convert it to 1D

[@arunaskengineeringcse99]

@@regenerativetoday4244 How to convert to 1D?

[@jayasarojam8568]

Great 👍🏼

[@archniki_]

You can compress audio in audacity if someone complain

[@abdullahalrawi1491]

How did you know there is a corr between the 2 variables from the scatter ? amazing video btw thanks

[@abdullahalrawi1491]

i saw your last video and i could get the answer thanks

[@regenerativetoday4244]

Thank you for your question. Scatter plot shows a specific trend here. When X is higher y is higher too. That indicates a correlation. But if you quantify the correlation you have to calculate it for sure.

[@abdullahalrawi1491]

@@regenerativetoday4244 thank you The problem is i follow a similar course in Belgium with stupid teachers who unfortunately don’t explain as you do in the videos, maybe i wont do it this year so i will follow your videos to understand the basics

[@adithkrishnaa8503]

When i try to plot the x and y test it says x and y must be same size. What to do

[@regenerativetoday4244]

Please check the shape and length of both x and y to know what is the problem.

[@SparaPengar]

@@regenerativetoday4244 Got the same result. Following your instructions X_test becomes 90 values and Y_test becomes 60 values. I assume I did something wrong in the split then?

[@santakmohanty612]

Can you provide the data set for this video too.

[@regenerativetoday4244]

This dataset is in built in seaborn library. sns.load_dataset('iris') will load it for you.

[@eevibessite]

kzbin.info/www/bejne/iaCWi2B-qZukgZo

[@AshutoshDhaka]

1:54 that sorry XD

[@deepak70813]

I am jumping out of the video because of audio quality.

[@user-dh6wx3fe6y]

Maybe, but the quality of the material is much better than the audio quality, unlike other authors.