Simple Linear Regression in Python - sklearn
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- Опубліковано 2 тра 2022
- 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 - Наука та технологія
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.
ua-cam.com/video/So3Z-Ht6qK8/v-deo.html
Hands down to the best tutorial for linear regression implementation in python not even code with harry can compete😊
That was an amazing video , i have been struggling for three days finally i found a solution
Thank you so much!!
One of the best ML linear regression I have ever seen. Thank you so much. This channel should have wider reach.
ua-cam.com/video/So3Z-Ht6qK8/v-deo.html
Awesome content! Thank you so much for simplifying the explanation!
This channel is super under-rated
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!!
Inifinite thank yous for this!!! Straight to the point and beautifully explained
♾️
Thank you, this was really helpful and straight to the point!
Excellent Explanation and with great concept...Thank you very much👍
You deserve more subscribers.
So, beautifully explained ...Thanks a lot
amazing explanation. THANKYOU
Really simple and clear tutorial ⭐⭐
Thank you so much, u really explained everything so well
Thank you for your nice video; really I need a simple explanation to learn it.
thank you for amazing explanation
Thanks , well pressented
you are genius mam
Awesome
Thanks, I undestand better.
you are amazing
Great 👍🏼
what to do if the x-axis is time series ?
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
thank you! how to know p_value and if the coefficient is significant or not?
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.
how to fix this problem ValueError: could not convert string to float: 'van'
You can compress audio in audacity if someone complain
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)
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.
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.
Check the dimension of your array. If its 2D, convert it to 1D
@@regenerativetoday4244 How to convert to 1D?
could yo please share the data so we cold train on it
How did you know there is a corr between the 2 variables from the scatter ? amazing video btw thanks
i saw your last video and i could get the answer thanks
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.
@@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
1:54
that sorry XD
When i try to plot the x and y test it says x and y must be same size. What to do
Please check the shape and length of both x and y to know what is the problem.
@@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?
Can you provide the data set for this video too.
This dataset is in built in seaborn library. sns.load_dataset('iris') will load it for you.
ua-cam.com/video/So3Z-Ht6qK8/v-deo.html
I am jumping out of the video because of audio quality.
Maybe, but the quality of the material is much better than the audio quality, unlike other authors.