@@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
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 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....
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
@@Imspeed877 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 ?
The example really crystallized the concept. Excellent explanation!
Aww explanation can you make same lecture by using python code
yes@@Avsjagannath
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 🙌
Too clear and made the concept very simple. Thank you for the video
No one can teach like VARUN sir.
yes amazing
Thankyou so much sir for this good explanation.Your teaching is really outstanding.
Sir ji chak te fatte Siraa laata 🙏🙏
Beautifully explained😊👍
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 😊
What an explanation sir.....🙏
Really,maza aa gya
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.
Amazing tutorial....helped a lot...thank you so much for this wonderful tutorial🥰😍😇
You are really very valuable for each and every one belongs to every genres❤ thank you 😊
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))
searched whole youtube for clear cut explanation of these models, no one literally no one explained as good as you
You are the best teacher in my engineering life !!!!! 🎉
Great explanation. Pretty easy with simple example. Thanks
Many thanks for making such a nice video in hindi . i have learned alot .
Thank you so much itana easy way super ho boss
Thank you sir for the amazing explanation
Thank you sir for nice explaination.
Really good Teacher
thanks for making this video.... I have ML exam thanks for explaining in simplier manner.
slope can be calculated by using the formula y2-y1 / x2-x1
Best teacher 👍, watching from Pakistan
sir your explanation is very excellent thank u so much sir
superb explanation of linear regression..
You are a very good teacher
You are too good. Thank you ❤
Thank you sir
Great teaching skills
huheeuheuheuehueh
Very simple and clear❤
Machine 🤖 ko learn krwane se pehle khudke brain 🧠 ko toh learn krwalo 😂 nice quote sir.
0:30
Should be made a meme
This is the best explanation video after watching 4-5 videos before. 👍
$ na bol ke Rs bolte to jyada samajh aata 😆
I was not expecting someone starting from basic. good job, thanks
Sir can you please add a video of "MULTIPLE REGRESSION MODEL" to this playlist.
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
you are really great teacher ❤❤
Thank you !
Nice teaching skills sir
huwheueheueuheuhe
Varun boss zindagi asaan krdi aapne
Sirrr you aree great 🙏
well explained
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.
sir please make a video on practical implementation ml algorithms it would me more better for us to understand with data
Thank You
good explanation but more information could have been provided as to why we took mean, deviation, and product of deviation.
Noted sir
Wonderful sir jee
Under fitting aur Overfitting pr video bnaeye Sir
Awesome sir
When we have this MAN why we are going to universities.
Thanku sir
THANKYOU SO MUCH SIR🙏🙏
Example and last testing , prediction for x is so good
mind-blowing explanation
Sir please create videos on Python Dashboard i.e Plotly & Dash.
indeed easiest explanation. Can you please explain cost function?
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.
Super se bhi uper ❤
you are best sir ....
when he said "phly khud k brain ko tw learn karwa lo" i felt it 😂
Thank you sir for your great explanation :)
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
Guru nandham
You deserve my sub.❤
Top top guy!!
saw this explanation on chatgpt aswell content of video
Lajwab Sir❤❤
Hi bhaiya, bhaiya Ap aws ki playlist launch kro Ap bhot Acha explain krte ho bhot help milegi subscribers ko 👍
great explaination
Sir ji unsupervised learning ki bhi video uploaded krdo
sir this concept is also same in excel
sir plz btado 😑
Good ❤❤
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
Shouldn't we use point slope formula and calculus?
Second..!!!😁🤩🥳💯🔥👍🏻👏🏻🫶🏻🤜🏻🤛🏻🤝🏻✊🏻👌🏻🤌🏻🔥🔥🔥
Sir is aging like a fine wine
can we perform linear regression if we want to see effect of 1 IV on 2 DVs ?
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 plz upload the remaining videos ....... ;) 5 din bad exam ha
Matlab ki iss video mai lura chapter explain nahi kiya hai
Sir g end hogya lots of love from Pakistan
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....
sir full syllabus krado iska
Sir lekin aapne Deviation(X) ko deviation(Y) se multiply q kiya?
Respect from Pakistan
sir formula mx+b hai but aapne minus kyun kiya end me
Sir iske aage ka course bhi pada dijiye
Simple linear regression pr ek video mil skta h??
@sir can u explain all the algo with python code
This was MIND BLOWING
7:46 Customer be like: Pizza to hai hi nahi. Paise ab tu mujhe de me nahi 😂😂
😂😂 2 rupey milenge
Is it helpfull for premba
Here -2 means dilevery boy will give u 2 dollars 😂
Jokes apart sir teaching is best ❤
Sir mujhe 1 example batao regression ki Jo everyday life mejn use HOTA hooo
sir multilinear regression mai yeah formula apply nahi ho raha hai
Nice
Tomorrow I have machine learning today learning
IS THIS THE LEAST SQUARE METHOD ?