Linear Regression Practical Implementation In Hindi

Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.

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[ParthPatel-dbtk]

fit_transform() is used on the training data to learn the scaling or transformation parameters and then applies the same transformation to the training data. transform() is used on new data (e.g. test data) to apply the same transformation that was learned on the training data.

[SubhashKumar-ektm]

fit_transform is used on training data to learn parameters and transform it, while transform is used on new or unseen data to apply previously learned transformations without re-learning the parameters.

[talhagalaria]

fit transform and transform = we want to keep as a surprise is no longer unknown to our model and we will not get a good estimate of how our model is performing on the test (unseen) data which is the ultimate goal of building a model using machine learning algorithm.

[yldggcc]

playlist ke hisab se video dalo sir, theory aur practical implementation ke video mein bahot fark hai, much samjh nhi aya, r2 score, cross validation, xtrain ye sab kya hai theory mein to that he nhi ye sab.

[luckythecutepie]

fit transform is used in train data set to predict the value(linear regression) test data set just to se our accuracy with the model.

[anujgupta]

Gradient decent iss implementation mein kaise implement kaise hua?? Agar back end mein hua toh alpha value kaha diya?? @krish please explain

[JagFi]

Boston housing dataset has been removed from scikit-learn. Is there any way to load it as a bunch data??

[avinashmirchandani]

Please more videos on machine learning also practical video more
Thankyou

[cybermascot]

problem with the inbuilt datasets is that they are removed often later when new versions is released, like Boston dataset is no more part of sklearn in-built dataset. it would be great if you use independent datasets in future.

[meetsaurabhtiwari]

Sir, your effort is really wonderfull and is inspiration. please make a separate playlist for EDA and feature engineering, lakhs of aspirants are wait, please make it on serious note.

[pratishzaware]

Nicely taught the algorithm..Thanks for making learning simple

[xyz]

sir sklearn na dataset remove kar deya ha. dataset fetch nahi ho raha ha

[Aman-yure]

Do I need to know sklearn before starting this playlist ?

[neeshantn]

Great video sir...just one concern...Why we are not checking VIF?

[jaydodhiawala]

sklearn removed load_boston which dataset i can use to follow along?

[Gattu_g]

Sir you explain soo good please continue making videos in hindi

[Sachin-xjoq]

Can anyone please explain displot discussed in this video?

[sauravsahay]

How is it that you are predicting on x_test but calling your y_test as truth value?

[alirathore]

why are we using 'neg_mean_squared_error'
can u please share link linear regression loss function video ?

[dxmlwfq]

where is the theory playlist? can someone please attach the link in the reply to this comment