Linear means straight... Regression means coming to an avergea, linear regression means fitting a straight line which is average fit to the set of all observations ✌️💯
I would like to explain linear regression using following example: The moment you sit in a cab ride, in a cab, you see that there's a fixed amount there, it says $2.50, $2.50 You rather that the cab moves or you get off, this is what you owe to the driver, the moment you step into a cab. That's a constant, you have to pay that amount, if you have stepped into a cab. Then as it starts moving, for every meter or 100 meters, the fare increases by a certain amount. So, there's a fraction, there's a relationship between distance and the amount you would pay, above and beyond that constant. If you're not moving, and you're stuck in traffic, then every additional minute, you have to pay more. As the minutes increase, your fare increases, as the distance increases, your fare increases, and while all this is happening, you've already paid a base fare, which is the constant. This is what regression is. Regression tells you what the base fare is and what is the relationship between time and the fare you have paid and the distance you have traveled and the fare you have paid. Because in the absence of knowing those relationships, and just knowing how much people traveled for, and how much they paid, regression allows you to compute that constant that you didn't know it was 2.50, and it would compute the relationship between the fare and the distance, and the fare and the time.
Linear Regression is how well one variable(dependent variable) can be explained through a line graph made from other variable or variables(independent variables).Hence the term 'linear' in regression.
Hi Krish, first of all, thank you for all the videos - they are very infornational. Kindly add few more videos on interview Q&As for Data Science and ML. Now, regarding Linear Regression in simple terms - it is a straight line that we draw on a graph, here to represent the cost of the Uber ride. Y being the price, x is distance , slope is price per km and intercept includes surge due to timing
example, you wanted go one 'x' tourist place where it has several places to cover, different range of hotels etc and your not sure how much will it cost for it exactly but you have the data of your friends who had been to the place recently. Linear regression will helps you to find the best average amount for your trip on basis of number of days u stay there and number of places you cover etc with a constant of travel charges you choose.
Linear regression : Let's say you travel 10 km and your uber bill comes out to be 150 , next day you travel 15 km and your bill comes out to be 250 . Now you want to predict uber bill on travelling 12 km you can use linear regression to predict it.
lets say you booked an Uber, your fare will be dependent on the distance travelled. Now point some points on a 2d space, distance vs fare and join these point using a straight line. this is similar to linear regression. As distance increases, your fare increases. By extending that line, you can give an estimate of fare for your future trips.
In simple language, LR is a common method of prediction. The process goes like that >>get the data>>design a model that works for that sample data>>Make a prediction for the whole population.
Linear regression is all about how one can increase some set of values or decrease some another set of values so that you get closure to optimal values.
I have been working with Wells the question they ask Python(numphy, Pandas), MYSQL (joins, subqueries, windows funcations, group by) and some guestimates.
when we have to work on more than 2 variables then we are using Linear regression and a fitting curve is one of the most important part of linear Regression
Hi Krish..! I went through many of your videos. and they are so much worth watchable for aspirants. I have one request from my side... i.e. Can you please make some videos about particularly for data engineering and working mechanism of any of one data modeling tool.??
Linear means straight and Regression means finding relationship between variables. So linear regression is a straight approach to find the relationship between variables.
i am mechanical engineer....luckily I got job in one of the best MNC in finance market, currently I am working as Senior Analyst . my question Is can I get opportunity in Data Science field, if I learn all the tools, does Engg. stream do matter for MNC?
Linear regression analysis simply means we are just trying to fit with average . Everyone wants to be atleast average that's best explained by linear regression
The more you study on an average the more you score, to capture this trend quantitatively we apply linear regression. So LR is just a syntactic sugar of mathematicians to capture these linear trends in using pen-paper.
@@krishnaik06 Thanks sir , I am continue following that , vo bs routine bna liya tha daily 30 min m video dekhna samjhna and code krna. Thanks you so much for this.
Sir please share how a beginner should start with data visualization ? What skills to required to get job as data visualization and is there course or degree needed in statistics ?
arre bro bas eak baat bata do whether using google is allowed or not in the case interview........? this is very important for me as I have seen most people using google and stackoverflow while coding...
Hi Good morning I'm really interested to join IBM as a fresher. Currently i'm in pre-final year. So plz make a video on it that will be helpful to many people who are interested to join .
I'll be sitting Dumb in the Interview Started learning DS & AI in July ,had to learn a lot. Any resources of How a company's AI system Works ? Thank you Krish Sir
I got an offer from Uber as Associate Risk Analyst position. Should I accept it as the tech stack is only Excel and SQL? I'm more interested in data science what should I do?
Linear Regression : Trying to build an equation of a line which tries to fit all the points in a N- Dimensional space such that the sum of squared distances to that line is minimum
I will explain the linear regression to a less educated student like: You came outside to purchase some apple. you went to a store and asked for the price. The shopkeeper told you that 1 apple price is 10 rs. if you purchase 2 it will be 20. Think like you want to purchase 10 apples. Then How much you will pay to the shopkeeper ? If he told 100 rs. Then he knows y = mx . Later on i can explain in another case you were purchasing some other item for like banana.. for 3 bananas for 21 rs and 10 bananas for 60 rs. i can explain him about the 10rs is a bias or error to actual outcome. Please let me know is it will be enough. ??
Sir , I am 16 years old and I am interested in data science My boards exams Will be finished by next week , so I am thinking to start learning data science from now Any tips for me Sir please please please please please please please please reply 😊😊
Uhmm, im a second year student in isi kolkata (indian statistical institute). So, stat is not really a problem for me but since its a old institute most of the people do stuff theoretically. So, im very weak at programming and coding related stuff. Any idea on how to proceed?
Sir i have a question plzz ans me I am studying just data science course in my phone Bcz i have financial problem .i do this course in my home. And i have no certificate is data science .. Company asking any question for certificate Bcz i have no certificate.. Plzz sir ans this question
Hii sir i have belong to Art background.. But i intreasted data science And I have complete course data science. Can i illegible for data science job And plz tell m which course are suitable Art background student.
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Linear means straight... Regression means coming to an avergea, linear regression means fitting a straight line which is average fit to the set of all observations ✌️💯
Instablaster...
I would like to explain linear regression using following example:
The moment you sit in a cab ride, in a cab, you see that there's a fixed amount there, it says $2.50, $2.50 You rather that the cab moves or you get off, this is what you owe to the driver, the moment you step into a cab. That's a constant, you have to pay that amount, if you have stepped into a cab. Then as it starts moving, for every meter or 100 meters, the fare increases by a certain amount. So, there's a fraction, there's a relationship between distance and the amount you would pay, above and beyond that constant. If you're not moving, and you're stuck in traffic, then every additional minute, you have to pay more. As the minutes increase, your fare increases, as the distance increases, your fare increases, and while all this is happening, you've already paid a base fare, which is the constant. This is what regression is. Regression tells you what the base fare is and what is the relationship between time and the fare you have paid and the distance you have traveled and the fare you have paid. Because in the absence of knowing those relationships, and just knowing how much people traveled for, and how much they paid, regression allows you to compute that constant that you didn't know it was 2.50, and it would compute the relationship between the fare and the distance, and the fare and the time.
copied from where?
Copied from Coursera
Man you are doing a great service to the Data Science community. Kudos !!!! Thumbs up !!!!
Linear Regression: fitting a straight line to the given data in a graph.
could be more explainable by adding the term "dependent or independent variable" : )
Linear Regression is how well one variable(dependent variable) can be explained through a line graph made from other variable or variables(independent variables).Hence the term 'linear' in regression.
Linear regression simply explains the relationship between two or more things that is how changes in one, bring change in other things or vice versa
Thanks a ton, as this video cleared my doubts regarding my future's learning decisions.
Predict continous number Or values on on label data. Or predict variable y by using x variable.
Hi Krish, first of all, thank you for all the videos - they are very infornational. Kindly add few more videos on interview Q&As for Data Science and ML.
Now, regarding Linear Regression in simple terms - it is a straight line that we draw on a graph, here to represent the cost of the Uber ride. Y being the price, x is distance , slope is price per km and intercept includes surge due to timing
example, you wanted go one 'x' tourist place where it has several places to cover, different range of hotels etc and your not sure how much will it cost for it exactly but you have the data of your friends who had been to the place recently. Linear regression will helps you to find the best average amount for your trip on basis of number of days u stay there and number of places you cover etc with a constant of travel charges you choose.
Linear regression : Let's say you travel 10 km and your uber bill comes out to be 150 , next day you travel 15 km and your bill comes out to be 250 . Now you want to predict uber bill on travelling 12 km you can use linear regression to predict it.
lets say you booked an Uber, your fare will be dependent on the distance travelled. Now point some points on a 2d space, distance vs fare and join these point using a straight line. this is similar to linear regression. As distance increases, your fare increases. By extending that line, you can give an estimate of fare for your future trips.
In simple language, LR is a common method of prediction. The process goes like that >>get the data>>design a model that works for that sample data>>Make a prediction for the whole population.
Linear regression is a linear approximation of the causal relationship between variables.
1. Marks your data points into graph
2. Take a best fit line between these data points.
Fit and Finding This Best Fit Line is Linear Regression
Linear regression is all about how one can increase some set of values or decrease some another set of values so that you get closure to optimal values.
Please make a video regarding companies like wells Fargo, EXL,ZS etc for data analyst role for freshers?
I have been working with Wells
the question they ask Python(numphy, Pandas), MYSQL (joins, subqueries, windows funcations, group by) and some guestimates.
when we have to work on more than 2 variables then we are using Linear regression and a fitting curve is one of the most important part of linear Regression
Awesome video.Awaiting for still more interview videos
Sir make a playlist on Interview questions where you answer interview questions as if you are being interviewed
Thanks for the video!!! please eloborate on dynamic pricing and please make a video what algoriths are best suited for dynamicpricing.
Hi Krish..! I went through many of your videos. and they are so much worth watchable for aspirants. I have one request from my side... i.e. Can you please make some videos about particularly for data engineering and working mechanism of any of one data modeling tool.??
I like the way you teach
Sir hugely Motivated by you...Thanku for sharing your worthy knowledge to the community.
@@HemantKumar-lv2iy my typing mistake smjha karo
Corrected
What was the salary range offered to him with such a high qualification list ?
Sir, kindly make a video on job description of Data scientist..
Linear regression to a student - when your science marks increase your total marks also increase right? This is a linear relationship.
Really helpful video! Thank you! :)
Linear means straight and Regression means finding relationship between variables. So linear regression is a straight approach to find the relationship between variables.
Super bro ... I dont know about linear regression.. I studied comments but I cant understand... Nice
i am mechanical engineer....luckily I got job in one of the best MNC in finance market, currently I am working as Senior Analyst .
my question Is can I get opportunity in Data Science field, if I learn all the tools, does Engg. stream do matter for MNC?
Linear regression analysis simply means we are just trying to fit with average .
Everyone wants to be atleast average that's best explained by linear regression
The more you study on an average the more you score, to capture this trend quantitatively we apply linear regression. So LR is just a syntactic sugar of mathematicians to capture these linear trends in using pen-paper.
very motivational Thanks Krish
Informative Content
Data Structure and algorithm waali series kyu nhi aa rhi , i started following that and suddenly it's update stopped
aayega bhai dont worry...
@@krishnaik06 Thanks sir , I am continue following that , vo bs routine bna liya tha daily 30 min m video dekhna samjhna and code krna. Thanks you so much for this.
How an 2yr exp associate apply for uber (career transition from software development to data science)
how can we gain all this knowledge while pursuing our undergrad degree? I'm already doing competitive programming.
Please make interview questions for Fractal Analytics
A unit change in the input should lead to the unit change in the output.
Thank you for this video, it is very informational! Can you tell me the best resource to read about usecases in any particular product/company?
Sir please share how a beginner should start with data visualization ?
What skills to required to get job as data visualization and is there course or degree needed in statistics ?
do we need to be a domain expert before going for the interview or do they explain the concepts related to the domain during the interview?
Does companies consider a profile who has freshly transitioned in Data science?
arre bro bas eak baat bata do whether using google is allowed or not in the case interview........? this is very important for me as I have seen most people using google and stackoverflow while coding...
Hi
Good morning
I'm really interested to join IBM as a fresher. Currently i'm in pre-final year.
So plz make a video on it that will be helpful to many people who are interested to join .
What were the DS questions asked?
Hi krish thanks for interview.
I will be building my career in data science.
Experince 6 year's in web.
Can you please guide
Can you please share the data science of Paypal, stripe and paytm.
Please make a video on projects related to energy analysis
Can health care or pharma background people can learn data science. Please suggest
I'll be sitting Dumb in the Interview
Started learning DS & AI in July ,had to learn a lot.
Any resources of How a company's AI system Works ?
Thank you Krish Sir
What about people from other branches of engineering?
I got an offer from Uber as Associate Risk Analyst position. Should I accept it as the tech stack is only Excel and SQL? I'm more interested in data science what should I do?
Go ahead as an analyst u will get interesting problem statements
@@krishnaik06 Thanks Krish! appreciated your response.
Please make a video on top 50 companies who offer 10 lpa atleast and required graduates....like this..
Sir please start offline classes
Ok the persons who's done or doing p.g dip in Data science and AI they will not cover qualification with bio or other non maths field background
Linear Regression : Trying to build an equation of a line which tries to fit all the points in a N- Dimensional space such that the sum of squared distances to that line is minimum
Sir please upload data structures playlist
I will explain the linear regression to a less educated student like: You came outside to purchase some apple. you went to a store and asked for the price. The shopkeeper told you that 1 apple price is 10 rs. if you purchase 2 it will be 20. Think like you want to purchase 10 apples. Then How much you will pay to the shopkeeper ? If he told 100 rs. Then he knows y = mx . Later on i can explain in another case you were purchasing some other item for like banana.. for 3 bananas for 21 rs and 10 bananas for 60 rs. i can explain him about the 10rs is a bias or error to actual outcome. Please let me know is it will be enough. ??
Why your are not uploading any videos in Live projects sir?
Planning to upload deep learning projects...don't worry it will come
Sir, Is there any hope for dropouts? Or we should start looking for some blue-collar jobs.
Help also the fresher's please...
Sir , I am 16 years old and I am interested in data science
My boards exams Will be finished by next week , so I am thinking to start learning data science from now
Any tips for me
Sir please please please please please please please please reply
😊😊
Uhmm, im a second year student in isi kolkata (indian statistical institute). So, stat is not really a problem for me but since its a old institute most of the people do stuff theoretically. So, im very weak at programming and coding related stuff. Any idea on how to proceed?
Sir i have a question plzz ans me
I am studying just data science course in my phone
Bcz i have financial problem .i do this course in my home.
And i have no certificate is data science ..
Company asking any question for certificate
Bcz i have no certificate..
Plzz sir ans this question
I am afraid to give an interview and I know about data science very well tell me guys what do
what about BE extc?
Sir i am bcom Student and i have joined a data science
Will I be able to get call for data science interview?
Sir you said any degree from statistics , can it be from online courses like coursera or udemy
Bro Is there any probability for a fresher to get a job as Machine learning Engineering jr or data scientist jr. Anyone please clarify my doubt
How to get Data Science job in Panasonic?
Hii sir i have belong to Art background..
But i intreasted data science
And I have complete course data science. Can i illegible for data science job
And plz tell m which course are suitable Art background student.
Ok the persons who's done or doing p.g dip in Data science and AI they will not cover qualification with bio or other non maths field background