I don't know every time what to say! How can u explain the best & in simplest way possible every time ? How do u make awsome representation , simplest explaination with examples anyone can understand? How do u do that? Thanku so much for working hard. U really r very professional , knowledgeable , ur teaching skills r also the best. I m great fan of this channel. Hatts off....God bless u ! U r the best one so is The Campus X.
Couldn't agree more. Hands down Nitesh sir is best when it comes to explaining hard core topics. I was blown away when I saw the "Principal Component Analysis" lecture. Sir is true gem 💎 for us.
Also, just a suggestion! if you could create a playlist adding all such imp interview questions videos together would be lovely and attract masses too.
Appreciate your efforts on making this video.. just to mention that you talked about parametric and non parametric models in the end. KNN comes under non parametric models.
Sir I am your great fan the way you explain everything in your videos is awesome I tired reaching your team for the course but still I didn't had any update on it please help me with this sir thank you for such great videos your work is appreciated sir
Your videos are really helpful. I am facing this issue of unable to think of the next step while coding. If someone tells me what to do or i see the solution, it takes ne seconds to write the correct code. Any idea how I can overcome this barrier. Thanks again for the awesome uploads.
It all depends on computation power and time. If more features are there with multicolinearity that mean many features are giving same information and it is better to skip those features. So less features mean computation time will be less which is good.
Is is ok to remove a column from a df which has high correlation with some other independent column in a classification problem? Or it should be done only in case of regression?
Hello sir. Sir I want to take your classes. How i can go for it ? Please reply me . And also i visited your website through LinkedIn but it didn't opened so please tell me . Thanks sir . You are awesome ❤️really. Sir basically i want to do a project on ml environment but we don't know ml . So i want to do your classes.
Aaj engineering ka last exam tha abh devotedly sari videos lgani hae aapke channel ki . Ek problem sir I'm facing every job under data science Askin for experience how to solve it
Do more interesting projects which aligns with the vacancy that you're applying for and add it in your resume. Don't refrain from applying even if the requirement says 2-3yrs of experience. Once they go through your resume there's a High chance that you'll be called up for an Interview and then on it's your show
But sir why exactly multicolinearity affects the performance of regression algorithms(if only prediction matters to us). I don't see any effect on the accuracy, although yes, it would take more processing power which could've been optimised but nothing else...
From what I understand, multicollinearity doesn't impact the predictive performance of regression models significantly. I believe that it makes it difficult to individually identify the contribution of each predictor variable to the response variable. So the impact is on interpretation than on prediction, to put it simply.
