<transcript><audio_2> हम पढ़ेंगे multivariate</transcript><caption><image_3>The image is a screenshot of a webpage with the title "Multivariate Regression" written in black text on a white background. The text is in a bold, sans-serif font and is centered on the page. Below the title, there is a URL bar at the bottom with the website URL "http://www.youtube.com/Vikasoft.html" and a link to the website's website. The webpage appears to be a tutorial or guide on how to calculate the multivariate regression.</caption><transcript><audio_4> एक supervised machine learning technique है, supervised machine learning आपको बताती चलूं, ऐसी तमाम techniques है,</transcript><caption><image_5>The image is a slide from a presentation about multivariate regression. It has a title at the top that reads "Multivariate Regression" and below it, there is a description that explains that multivariate regressions are supervised machine learning techniques. 

The slide has a white background and black text. The text is divided into two sections. The first section explains that the difference between univariate and multivariable regression is output dependent upon more than one variable. The second section explains how the difference is dependent on the output of the variable.

There are two bullet points in the slide, one on the left side of the slide and the other on the right side. The bullet points explain that the variable regression is y = m^2 + m^3 + y^2, y^4 + m, and that it is dependent upon the variable's output. The image also has a link to a website for more information about the presentation.</caption><transcript><audio_6> independent variables ठीक है, the output जो होती है हमारी वो dependent होती है more than one variable के, you in</transcript><transcript><audio_7> इलाबुरेट करने कोशिश की गई तो सब्सक्राइब जो है हमारे पास वाइस इक्वल टू एम वन यह हमारा कॉफी</transcript><transcript><audio_8> and V is the intercept. So for a univariate regression model,</transcript><transcript><audio_9> लेकिन multivariate regression</transcript><transcript><audio_10> corresponding coefficients m1 m1 and m3 और this is our output यानि कि हमारी final</transcript><transcript><audio_11> लेट्स सी के इसकी रियल लाइफ में हमारे पास क्या एग्जांपल है के यूनिवरियेट रिग्रेशन या मुल्टीवरियेट रिग्रेशन हमें कहाँ पर चाहिए होती है।</transcript> Adnan Sami Today We Will Read Multivariate A Summary Verification A Supervisor Machine OK Supervisor Machine Learning Let Me Tell You OK Supervisor Machine Learning Let Me Tell You Acid Number Of Independence Day Our dependent is the plane mode in one variable which we tried to print with the help of a question e would request you m1 this is our question servi can say that commission loot super universe regression  Model we have number features input number features tree that this is the corresponding of our every filter their anger calm right word that AIIMS dynasty thick famous doctor appointed Ajay So let's okay so in real life we ​​have an example of where this reality is that
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