Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation

[@mayankbhardwaj1495]

01:23 Linear regression is used to show the relationship between two variables and make predictions based on that relationship. 02:46 Understanding regression analysis in predicting scores and prices 04:09 Predicting Pizza Prices 05:32 Understanding linear regression and the concept of deviation 06:55 The slope value for linear regression is 1.5. 08:18 Understanding the relationship between changing x and y values 09:41 The concept of predicting price based on diameter using linear regression 11:01 Linear regression predicts outcomes based on a straight line, but there may be errors or outliers. Thank you sir 😊

[@13manveersingh]

WAS THIS ORDINARY LEAST SQUARE METHOD ?

[@KanchanKumari-sm6fv]

Varun Sir should be awarded as best teacher award for all the colleges and universities students

[@riddhimamishra5186]

Now school students also

[@Stuck.in.Matrix]

😅mast joke mara

[@Imspeed877]

​@@Stuck.in.MatrixGautam buddha ke photo toh lag le phar andar se toh 👹 he Hain 😂😂😂 Ek award b mil jaye toh kya problem itne help jho mili video Dhek kar

[@Adi-zc4m]

@@Imspeed877 Ungrateful mfs they are, no point in explaining logic to them.

[@priyamaddy9283]

😂😂😂

[@prathvisingh8288]

The example really crystallized the concept. Excellent explanation!

[@Avsjagannath]

Aww explanation can you make same lecture by using python code

[@mr.jacker3951]

yes@@Avsjagannath

[@hashhaam_]

Linear regression is used to model the relationship between two variables, where one variable (the dependent variable) is predicted based on the other variable (the independent variable). The equation for linear regression is Y = mX + b, where Y is the dependent variable, X is the independent variable, m is the slope of the line, and b is the y-intercept. Key moments: 00:02 Linear regression is crucial for understanding machine learning concepts as mathematics forms the foundation, making it essential to grasp the relationship between variables for prediction purposes. -Importance of mathematics in machine learning concepts and its correlation explained. -Explanation of linear regression and the relationship between dependent and independent variables. -Collecting and cleaning data for predicting pizza prices using linear regression. 04:01 Understanding linear equations and the concept of dependent and independent variables is crucial in mathematical calculations. Linear regression involves calculating the values of dependent and independent variables for further analysis. -Calculation of dependent and independent variables in linear equations is foundational for mathematical analysis and modeling. -Exploring the concept of linear regression and its application in mathematical calculations for predictive modeling. -Visualizing data through graphs to understand the intersection of values and facilitate easier analysis and interpretation. 10:25 Understanding linear regression concepts involves refining and cleaning data to reduce errors, even though some errors may still occur due to outliers in the data. -Importance of data refinement in reducing errors and outliers in linear regression analysis. -Challenges of errors in linear regression due to outliers and the need for data cleaning for accurate predictions. Generated by sider.ai

[@meghanaraut8855]

Kya sahi samjhaya sir apne 👍 best 🙌

[@johns4929]

Very simple and best explanation, i paid lakhs and took a course, still was not able to understand. But your explanation excellent, understood very easily. Thank you 🙏

[@shawnsequeira19]

I agree

[@beingabestbackbencher]

Timestamps 01:23 - Linear regression is used to show the relationship between two variables and make predictions based on that relationship. 02:46 - Understanding regression analysis in predicting scores and prices 04:09 - Predicting Pizza Prices 05:32 - Understanding linear regression and the concept of deviation 06:55 - The slope value for linear regression is 1.5. 08:18 - Understanding the relationship between changing x and y values 09:41 - The concept of predicting price based on diameter using linear regression 11:01 - Linear regression predicts outcomes based on a straight line, but there may be errors or outliers.

[@NishantGupta-k5y]

Sir ji chak te fatte Siraa laata 🙏🙏

[@legendarygaming8180]

No one can teach like VARUN sir.

[@imtiazali_66]

yes amazing

[@ITACHI_UCHIHA299X]

No one can teach like anyone

[@EducationWithTechnology]

Excellent explanation! Varun Sir should be awarded as best teacher award for all the colleges and universities students... Best Regards Mr. Denis Jangeed Assistant Professor @Civil Engineering Department GITS Udaipur Rajasthan

[@sharoniv8358]

bhai aap bhagwaan hain! please machine learning ki ye series continue rakhna aur agar ho sake to code example bhi dete rehna, aapka padhaya bohot acche se samajh me ata hai.

[@kartikpaul3161]

Kon kon exam ke din washroom pe aake dekh raha hai ?🎉

[@adityanayak4031]

😂

[@adityanayak4031]

Tum logo k school me fone bhi allowed hai kya 😂

[@ankitprakash1332]

media.tenor.com/o6wIG4jg96kAAAAM/modi-bkl-modi.gif

[@k.abhishek5704]

😂😂😂😂

[@arkapravaadhikary9184]

Te

[@k.smitarani2397]

Beautifully explained😊👍

[@shravanigururaj7135]

Too clear and made the concept very simple. Thank you for the video

[@Anurag.mehta1]

Mai 5 din se chat gpt se puchh rha hu bhai bta bta lekin wo bta nhi pa rha yhi chij thanku so much sir btane k liyai

[@enuarora]

You have explained this topic in such a simplified way that i couldn't find in a course that i opted for. I was looking to understand econometrics but you have sorted this topic so well with such an unconventional approach. Thank you so much .The best teacher 😊

[@abhimanyukushwaha8072]

What an explanation sir.....🙏 Really,maza aa gya

[@sapnashah4971]

Thankyou so much sir for this good explanation.Your teaching is really outstanding.

[@datastructure_algorithem01]

when he said "phly khud k brain ko tw learn karwa lo" i felt it 😂

[@mangeshjirapure9154]

वाह्ह क्या बात सर इतना easy था 🙏

[@Adarsh_dubey_IPS]

You are the best teacher in my engineering life !!!!! 🎉

[@_mr._ak._]

import numpy as np x = np.array([8, 10, 12]) y = np.array([10, 13, 16]) mean_x = np.mean(x) mean_y = np.mean(y) print(mean_x, mean_y) deviation_x = x - mean_x deviation_y = y - mean_y print(deviation_x) print(deviation_y) dev = deviation_x * deviation_y print(dev) sum_dev = np.sum(dev) print(sum_dev) m = sum_dev / np.sum(deviation_x**2) b = mean_y - (m * mean_x) print(m, b) def predict(x): return m * x + b print(predict(20))

[@praveenarya1986]

searched whole youtube for clear cut explanation of these models, no one literally no one explained as good as you

[@CloudsMediaG]

Best teacher 👍, watching from Pakistan

[@ShwetaGajbhiye-v6z]

Thank You so much Sir, Your video benefitted me in getting the precise knowledge of regression (linear regression), outliers, slope, intercepts. Thank you so much for the detailed explanation of a numerical by using small values.🙂

[@abdulrafay5711]

Varun boss zindagi asaan krdi aapne

[@programming3617]

Amazing tutorial....helped a lot...thank you so much for this wonderful tutorial🥰😍😇

[@learntry9074]

$ na bol ke Rs bolte to jyada samajh aata 😆 I was not expecting someone starting from basic. good job, thanks

[@honeymodha5293]

Thank you sir for the amazing explanation

[@GhostCoder83]

This is the best explanation video after watching 4-5 videos before. 👍

[@adityakumarsharma4395]

Machine 🤖 ko learn krwane se pehle khudke brain 🧠 ko toh learn krwalo 😂 nice quote sir. 0:30 Should be made a meme

[@janiharsh2882]

slope can be calculated by using the formula y2-y1 / x2-x1

[@jupingert]

superb explanation of linear regression..

[@abdulhakeemmughal2387]

Great teaching skills

[@xaltyfan7760]

huheeuheuheuehueh

[@mrigankg]

Great explanation. Pretty easy with simple example. Thanks

[@robberz9154]

sir wonderful explanation!!

[@shreyachaudhary2658]

Nice teaching skills sir

[@xaltyfan7760]

huwheueheueuheuhe

[@Thebbadass]

Grey explanation with great example

[@tusharsantra7724]

Thank you sir for nice explaination.

[@Arya-dd4pg]

You are really very valuable for each and every one belongs to every genres❤ thank you 😊

[@call-me-potato.]

Many thanks for making such a nice video in hindi . i have learned alot .

[@dhanashrihatolkar4963]

sir your explanation is very excellent thank u so much sir

[@namitasingh4180]

Thank you so much itana easy way super ho boss

[@daenej3560]

YOU DA GOAT SIRJI

[@parthonabike]

thanks for making this video.... I have ML exam thanks for explaining in simplier manner.

[@ArNmn-oe8ri]

good explanation but more information could have been provided as to why we took mean, deviation, and product of deviation.

[@devanshah7663]

Noted sir

[@manav.2907]

When we have this MAN why we are going to universities.

[@shohineemandal6367]

You are a very good teacher

[@waqarbinjamil3577]

Really good Teacher

[@bca_asvdatascience1620]

Lajwab Sir❤❤

[@jonwick880]

mind-blowing explanation

[@govindbahadur8334]

you are really great teacher ❤❤

[@kinzaakbar5830]

Very simple and clear❤

[@ji_JOSHI_ji]

Sir can you please add a video of "MULTIPLE REGRESSION MODEL" to this playlist.

[@VarunSharma-hc2ce]

2:15 ommffoooo

[@Anonymous-vs7hb]

Thankyou sir You've gained a new subscriber hehe

[@AISonicHub]

You are too good. Thank you ❤

[@riyajaiswal5998]

Sir is aging like a fine wine

[@HarshitPXG]

7:46 Customer be like: Pizza to hai hi nahi. Paise ab tu mujhe de me nahi 😂😂

[@Sumit_Collab]

😂😂 2 rupey milenge

[@anjaliraj3353]

Ab padh liya h dimag me chap gya agar exam me ye question aaya as it is chaap kar aaungi .....😅😅😅

[@entertainmentsworld8448]

Super se bhi uper ❤

[@SamRaiden-lc3xg]

Kal hai paper 💀🙏

[@adityag6022]

Thank you sir

[@tanishkmahakalkar761]

Second..!!!😁🤩🥳💯🔥👍🏻👏🏻🫶🏻🤜🏻🤛🏻🤝🏻✊🏻👌🏻🤌🏻🔥🔥🔥

[@Tausim274]

Wonderful sir jee

[@bca_asvdatascience1620]

Under fitting aur Overfitting pr video bnaeye Sir

[@unique_bhanu]

THANKYOU SO MUCH SIR🙏🙏

[@geetartha18]

have to watch this before exam because this is a little tricky

[@Harshu30mki]

Here -2 means dilevery boy will give u 2 dollars 😂 Jokes apart sir teaching is best ❤

[@GauravKumar-ev6ke]

sir i have been studying ml for a long time but I want to understand what happening behind the scene sir thank you so much for this.this literally helpful to me.

[@MohitNihalani-up6vz]

Sirrr you aree great 🙏

[@coding-jw9kk]

Sir you are amazing

[@aparajitaroy9624]

well explained

[@ahsenhamid4990]

please double-check your definition of outliers. outliers are data points that deviate considerably from the average value of a group of statistics. Every point that deviates from the estimated fit line is not necessarily an outlier.

[@Haseebullah-m2c]

You deserve my sub.❤

[@varundawan3637]

Example and last testing , prediction for x is so good

[@harisinam4767]

Top top guy!!

[@PGhai]

With Reference to 9:43 when new pizza size is 20, predicted price is 28, why not 26 (10*2 --> 13 *2)?

[@_quotesbyasad_]

cz its predicted not actual

[@gurpreetghai8267]

@@_quotesbyasad_ but predicted looks to be wrong

[@amitpathak1239]

Hi bhaiya, bhaiya Ap aws ki playlist launch kro Ap bhot Acha explain krte ho bhot help milegi subscribers ko 👍

[@stargirl3670]

indeed easiest explanation. Can you please explain cost function?

[@PriyankaSM-bk1yv]

Thank you sir for your great explanation :)

[@charan_cherry8465]

great explaination

[@SanketSharmasanket7317]

ok

[@ayush1072]

you are best sir ....

[@JAIHINDJAIBHARAT-jn3hj]

sir this concept is also same in excel sir plz btado 😑

[@tanishaofficial5797]

sir please make a video on practical implementation ml algorithms it would me more better for us to understand with data

[@shadowofdreams248]

How the slope is equal to the division of sum of product of deviations and sum of square of deviations?? How slope becomes equal to it

[@AbdurRahim-zi9jl]

Bhai, x ka value zero kaha li hae sir ne. Wo to mean of x 10 li hae. Diameter zero kaha huwa. Samajh nehi aya. Pls guide me if you understood. Thanks

[@namitak7706]

Thank you !

[@manius7220]

Shouldn't we use point slope formula and calculus?

[@souryadeepsingha5906]

Awesome sir

[@bappydebnath3939]

Thank You

[@Advik-Gaming64]

saw this explanation on chatgpt aswell content of video

[@dhanashreepatil2225]

can we perform linear regression if we want to see effect of 1 IV on 2 DVs ?

[@anjaliagarwal0606]

I am a commerce student. Regression is in my curriculum. I did not find any video which explained this topic clearly, suddenly I opened your video and you explained this topic clearly.😊😊

[@khushbakhshrahman337]

sir mujhe ye samajh nahi aaya agar 10 inches ka pizza hai to 13$ ka hoga or 20 inches ka pizza hai to 28$ ka kayse hoga. agar koi bta sakta hai to bta do yaar. mujhe ye samajh nahi aaya abhi tak. or ha mai ye nhi kah raha hun ke galat hai ye but bata do yaar kayse hua ye

[@RajdeepSingh-pr3xv]

Apke Hisab se 10 inch ka agar 13$ ka hai to 20 inch ka 26$ ka hona chahiye... Yhi hai apka doubt... Dekho.... Pizza hota round shape ka esliye uska price uske area ke hisab se hoga aur agar ham 10 cm diameter le aur fir 20 cm diameter le to area double nhii ayega balki jyada ayega esiliye....

[@hannanbaig7888]

This was MIND BLOWING

[@Alihamza-zc8uo]

Good ❤❤

[@choudharyhere]

9:13 (-) or (+)

[@hamidtipu7135]

Respect from Pakistan

[@AbdurRafay-jn4mf]

Sir g end hogya lots of love from Pakistan