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

[@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]

😂😂😂

[@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 ?

[@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

[@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

[@legendarygaming8180]

No one can teach like VARUN sir.

[@imtiazali_66]

yes amazing

[@ITACHI_UCHIHA299X]

No one can teach like anyone

[@shravanigururaj7135]

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

[@NishantGupta-k5y]

Sir ji chak te fatte Siraa laata 🙏🙏

[@k.smitarani2397]

Beautifully explained😊👍

[@user-anurag93100]

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

[@sapnashah4971]

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

[@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 😊

[@Adarsh_dubey_IPS]

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

[@programming3617]

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

[@abhimanyukushwaha8072]

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

[@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.

[@honeymodha5293]

Thank you sir for the amazing explanation

[@janiharsh2882]

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

[@mrigankg]

Great explanation. Pretty easy with simple example. Thanks

[@Arya-dd4pg]

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

[@mangeshjirapure9154]

वाह्ह क्या बात सर इतना easy था 🙏

[@_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))

[@namitasingh4180]

Thank you so much itana easy way super ho boss

[@tusharsantra7724]

Thank you sir for nice explaination.

[@dhanashrihatolkar4963]

sir your explanation is very excellent thank u so much sir

[@call-me-potato.]

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

[@CloudsMediaG]

Best teacher 👍, watching from Pakistan

[@shohineemandal6367]

You are a very good teacher

[@praveenarya1986]

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

[@jupingert]

superb explanation of linear regression..

[@parthonabike]

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

[@Outdoorboix]

Grey explanation with great example

[@learntry9074]

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

[@kinzaakbar5830]

Very simple and clear❤

[@ji_JOSHI_ji]

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

[@AISonicHub]

You are too good. Thank you ❤

[@govindbahadur8334]

you are really great teacher ❤❤

[@abdulhakeemmughal2387]

Great teaching skills

[@xaltyfan7760]

huheeuheuheuehueh

[@abdulrafay5711]

Varun boss zindagi asaan krdi aapne

[@manav.2907]

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

[@adityag6022]

Thank you sir

[@waqarbinjamil3577]

Really good Teacher

[@tanishaofficial5797]

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

[@Anonymous-vs7hb]

Thankyou sir You've gained a new subscriber hehe

[@GhostCoder83]

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

[@varundawan3637]

Example and last testing , prediction for x is so good

[@shreyachaudhary2658]

Nice teaching skills sir

[@xaltyfan7760]

huwheueheueuheuhe

[@MohitNihalani-up6vz]

Sirrr you aree great 🙏

[@stargirl3670]

indeed easiest explanation. Can you please explain cost function?

[@datastructure_algorithem01]

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

[@bca_asvdatascience1620]

Under fitting aur Overfitting pr video bnaeye Sir

[@unique_bhanu]

THANKYOU SO MUCH SIR🙏🙏

[@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.

[@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

[@Tausim274]

Wonderful sir jee

[@jonwick880]

mind-blowing explanation

[@aparajitaroy9624]

well explained

[@adityakumarsharma4395]

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

[@namitak7706]

Thank you !

[@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.

[@UdaiKs]

Sir please create videos on Python Dashboard i.e Plotly & Dash.

[@PriyankaSM-bk1yv]

Thank you sir for your great explanation :)

[@entertainmentsworld8448]

Super se bhi uper ❤

[@Advik-Gaming64]

saw this explanation on chatgpt aswell content of video

[@bappydebnath3939]

Thank You

[@ayush1072]

you are best sir ....

[@Haseebullah-m2c]

You deserve my sub.❤

[@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

[@ArshDeep-nx4cr]

Sir ji unsupervised learning ki bhi video uploaded krdo

[@riyajaiswal5998]

Sir is aging like a fine wine

[@souryadeepsingha5906]

Awesome sir

[@harisinam4767]

Top top guy!!

[@charan_cherry8465]

great explaination

[@amitpathak1239]

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

[@GauravKumar-tk5we]

tq sir

[@AbdurRafay-jn4mf]

Sir g end hogya lots of love from Pakistan

[@bca_asvdatascience1620]

Lajwab Sir❤❤

[@muralikarthik1974]

Guru nandham

[@PGhai]

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

[@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

[@manius7220]

Shouldn't we use point slope formula and calculus?

[@ZOHANKHAN-kv8ns]

Sir mujhe 1 example batao regression ki Jo everyday life mejn use HOTA hooo

[@tanishkmahakalkar761]

Second..!!!😁🤩🥳💯🔥👍🏻👏🏻🫶🏻🤜🏻🤛🏻🤝🏻✊🏻👌🏻🤌🏻🔥🔥🔥

[@JAIHINDJAIBHARAT-jn3hj]

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

[@hannanbaig7888]

This was MIND BLOWING

[@nidhisahu1689]

Sir iske aage ka course bhi pada dijiye

[@SushmaKumari-k1y]

@sir can u explain all the algo with python code

[@pritinagwanshi286]

Simple linear regression pr ek video mil skta h??

[@SyedTariqueAbedin]

sir plz upload the remaining videos ....... ;) 5 din bad exam ha

[@nilkamalyadav1103]

Matlab ki iss video mai lura chapter explain nahi kiya hai

[@HarshitPXG]

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

[@Sumit_Collab]

😂😂 2 rupey milenge

[@rayyanahmed321]

arey love you sir, love from Pakistan.

[@dhanashreepatil2225]

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

[@Alihamza-zc8uo]

Good ❤❤

[@hamidtipu7135]

Respect from Pakistan

[@geekyhead]

sir full syllabus krado iska

[@Harshu30mki]

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

[@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.😊😊

[@manjudapteimanju5131]

Tomorrow I have machine learning today learning

[@Fight_fan]

Sir lekin aapne Deviation(X) ko deviation(Y) se multiply q kiya?

[@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....