Thankyou very very much for clearing that concept. I m roaming for one month for this topic but not getting the concept clearly, by watching your video I am on 98% must say
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.
I have one doubt like we provide the x_train and y_train to the model for training purpose, and we can test the data by x_,test so I m not getting the purpose of y_test
Once you get the prediction result from X_test, you can compare that with y_test to check how well the prediction working for you. So, y_test is for model evaluation.
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)
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.
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
@@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?
![Linear Regression Python Sklearn [FROM SCRATCH]](http://i.ytimg.com/vi/b0L47BeklTE/mqdefault.jpg)
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
Thankyou very very much for clearing that concept. I m roaming for one month for this topic but not getting the concept clearly, by watching your video I am on 98% must say
Hands down to the best tutorial for linear regression implementation in python not even code with harry can compete😊
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
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!!
The content is really gold. It's good.
This channel is super under-rated
That was an amazing video , i have been struggling for three days finally i found a solution
Thank you so much!!
Three days, I was struggling am for one months 😅
Inifinite thank yous for this!!! Straight to the point and beautifully explained
♾️
You deserve more subscribers.
you are fantastic, really thanks from my heart. Have a lovely day
Awesome content! Thank you so much for simplifying the explanation!
Excellent Explanation and with great concept...Thank you very much👍
thank u soo much mam concept cleared
how to fix this problem ValueError: could not convert string to float: 'van'
How you load the data?
Thank you, this was really helpful and straight to the point!
You can compress audio in audacity if someone complain
I have one doubt like we provide the x_train and y_train to the model for training purpose, and we can test the data by x_,test so I m not getting the purpose of y_test
Once you get the prediction result from X_test, you can compare that with y_test to check how well the prediction working for you. So, y_test is for model evaluation.
@@regenerativetoday4244 ahh ! Ok Ok Thankyou So Much for a instance reply
Were is your html version?
Really simple and clear tutorial ⭐⭐
amazing explanation. THANKYOU
Thank you so much, u really explained everything so well
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
So, beautifully explained ...Thanks a lot
Thank you for your nice video; really I need a simple explanation to learn it.
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.
thank you for amazing explanation
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?
thank you! how to know p_value and if the coefficient is significant or not?
Sufficient 😊
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
why did we convert it the training data to 2d?
This is a general rule. Scikit learn library takes the features as 2D. Either DataFrames or 2d arrays.
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.
what to do if the x-axis is time series ?
could yo please share the data so we cold train on it
you are genius mam
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
Thanks , well pressented
Thanks, I undestand better.
Awesome
you are amazing
Great 👍🏼
1:54
that sorry XD
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.