@@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
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 😊
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 🙏
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 😊
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.
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.
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.
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
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
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....
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.😊😊
Sir app ke playlist main 11th ka pura syllabus nikalta hain lakin 12th ka nhi 😢 kyun sir... App nhi padhayenge 12th walou ko... Plz sir padha dijiye plz
Varun Sir should be awarded as best teacher award for all the colleges and universities students
Now school students also
😅mast joke mara
@@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
@@82858sjfj Ungrateful mfs they are, no point in explaining logic to them.
😂😂😂
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 😊
WAS THIS ORDINARY LEAST SQUARE METHOD ?
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 🙏
I agree
Kya sahi samjhaya sir apne 👍 best 🙌
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 😊
Sir ji chak te fatte Siraa laata 🙏🙏
Too clear and made the concept very simple. Thank you for the video
slope can be calculated by using the formula y2-y1 / x2-x1
Thankyou so much sir for this good explanation.Your teaching is really outstanding.
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.
Beautifully explained😊👍
Machine 🤖 ko learn krwane se pehle khudke brain 🧠 ko toh learn krwalo 😂 nice quote sir.
0:30
Should be made a meme
Best teacher 👍, watching from Pakistan
Thank you sir for nice explaination.
You are really very valuable for each and every one belongs to every genres❤ thank you 😊
Amazing tutorial....helped a lot...thank you so much for this wonderful tutorial🥰😍😇
searched whole youtube for clear cut explanation of these models, no one literally no one explained as good as you
Sir can you please add a video of "MULTIPLE REGRESSION MODEL" to this playlist.
What an explanation sir.....🙏
Really,maza aa gya
Many thanks for making such a nice video in hindi . i have learned alot .
You are the best teacher in my engineering life !!!!! 🎉
Thank you sir for the amazing explanation
Kon kon exam ke din washroom pe aake dekh raha hai ?🎉
😂
Tum logo k school me fone bhi allowed hai kya 😂
media.tenor.com/o6wIG4jg96kAAAAM/modi-bkl-modi.gif
😂😂😂😂
Te
Great explanation. Pretty easy with simple example. Thanks
You are too good. Thank you ❤
sir your explanation is very excellent thank u so much sir
The example really crystallized the concept. Excellent explanation!
Aww explanation can you make same lecture by using python code
yes@@Avsjagannath
$ na bol ke Rs bolte to jyada samajh aata 😆
I was not expecting someone starting from basic. good job, thanks
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))
When we have this MAN why we are going to universities.
This is the best explanation video after watching 4-5 videos before. 👍
superb explanation of linear regression..
thanks for making this video.... I have ML exam thanks for explaining in simplier manner.
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.
Varun boss zindagi asaan krdi aapne
You are a very good teacher
good explanation but more information could have been provided as to why we took mean, deviation, and product of deviation.
Noted sir
when he said "phly khud k brain ko tw learn karwa lo" i felt it 😂
Wonderful sir jee
Under fitting aur Overfitting pr video bnaeye Sir
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.
Very simple and clear❤
7:46 Customer be like: Pizza to hai hi nahi. Paise ab tu mujhe de me nahi 😂😂
😂😂 2 rupey milenge
Great teaching skills
huheeuheuheuehueh
well explained
Example and last testing , prediction for x is so good
Sir is aging like a fine wine
you are really great teacher ❤❤
Sir lekin aapne Deviation(X) ko deviation(Y) se multiply q kiya?
Shouldn't we use point slope formula and calculus?
mind-blowing explanation
Sirrr you aree great 🙏
Second..!!!😁🤩🥳💯🔥👍🏻👏🏻🫶🏻🤜🏻🤛🏻🤝🏻✊🏻👌🏻🤌🏻🔥🔥🔥
Awesome sir
saw this explanation on chatgpt aswell content of video
indeed easiest explanation. Can you please explain cost function?
sir this concept is also same in excel
sir plz btado 😑
Hi bhaiya, bhaiya Ap aws ki playlist launch kro Ap bhot Acha explain krte ho bhot help milegi subscribers ko 👍
Lajwab Sir❤❤
THANKYOU SO MUCH SIR🙏🙏
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
Sir mujhe 1 example batao regression ki Jo everyday life mejn use HOTA hooo
Thanku sir
Thank You
sir formula mx+b hai but aapne minus kyun kiya end me
Thank you sir for your great explanation :)
Sir please create videos on Python Dashboard i.e Plotly & Dash.
Sir,
X ka value zero to nehi liya apne. Aap mean of x = 10 li hae. Ye samajh nehi aya. 😓
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
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
you are best sir ....
@sir can u explain all the algo with python code
Super se bhi uper ❤
great explaination
Top top guy!!
Here -2 means dilevery boy will give u 2 dollars 😂
Jokes apart sir teaching is best ❤
sir multilinear regression mai yeah formula apply nahi ho raha hai
You deserve my sub.❤
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
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....
hello sir do you share these lectures slides please i need them
Guru nandham
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.😊😊
Tomorrow I have machine learning today learning
Respect from Pakistan
Nice
sir full syllabus krado iska
Sir iske aage ka course bhi pada dijiye
IS IT POSSIBLE TO CALCULATE THE VALUE OF M USING CALCULUS
Good ❤❤
Is it helpfull for premba
IS THIS THE LEAST SQUARE METHOD ?
sir plz upload the remaining videos ....... ;) 5 din bad exam ha
Matlab ki iss video mai lura chapter explain nahi kiya hai
Simple linear regression pr ek video mil skta h??
Sir g end hogya lots of love from Pakistan
sir deviation time minus sign nahi awega
Hello sir, I'm your student from LPU. anywhere I can connect with you?
Msc statistics ka topic hae
❤❤❤
Sir aap T-shirt ulta paheneho keya❓❓🙄
.
Hiiiiii
Sir app ke playlist main 11th ka pura syllabus nikalta hain lakin 12th ka nhi 😢 kyun sir... App nhi padhayenge 12th walou ko... Plz sir padha dijiye plz
Pls tell topic names
@@GateSmashers sir ji start se krdejiy according 12th syllabus jo bi 2023 ka hain