Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka
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This Linear Regression Algorithm video is designed in a way that you learn about the algorithm in depth. This video is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial:
1. What is Regression?
2. Regression Use-case
3. Types of Regression - Linear vs Logistic Regression
4. What is Linear Regression?
5. Finding best-fit regression line using Least Square Method
6. Checking goodness of fit using R squared Method
7. Implementation of Linear Regression Algorithm using Python (from scratch)
8. Implementation of Linear Regression Algorithm using Python (scikit lib)
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Пікірлер: 338
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: bit.ly/2OpzQWw
@santanu1313
6 жыл бұрын
Where is the dataset?
@smeetkothari5160
4 жыл бұрын
For Stock Price predictor can day be Independent variable and Price be Dependent variable. Is Linear regression fit for Stock Market Price predictors??
@edurekaIN
4 жыл бұрын
The main difference between them is that the output variable in regression is numerical (or continuous) while that for classification is categorical (or discrete). However, they both are categorized under the same umbrella of supervised machine learning.
@edurekaIN
4 жыл бұрын
If the goal is prediction or forecasting or error reduction, linear regression can be used to fit a predictive model to an observed data set of y and x values.
The explanation was top-notch, Kudos to the instructor and specially Edureka for making this, Thank You.
@edurekaIN
3 жыл бұрын
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
24:20 - Programming part
You guys have a video on literallyy every topic, don't ya🔥❤️😂
You are a world-class instructor, your speaking skills are really good. Even I had completed the video in 2x speed, I did not find any place where I have to replay the part. The linear regression algorithm is explained in the easiest possible way. Thanks for the effort!!!!
A great video with all explanations about the model 👍 Could you please explain why one was subtracted while calculating r squared value
Best explaination I have ever seen for linear regression the visual explaination, mathematical theory awesome video please keep posting.
Simple and elegant, excellent video for beginner... thank you so much
really a great work.kindly explain the code slowly
The only video that helped me in calculating the best fit line in so much detail and plain english. Thanks for the same.
Excellent Session. Could you please share the data set used in this practice.
Very Good , looking for Mathematical understanding for prediction and code implementation. Very Much satisfied to understand prediction derivation. Thanks much.
I got it. thanks. great jobs edureka.
Excellent explanation and so far the best video i have seen. it will be very helpful if you share the ppts too
thank you so much for making my life easy............ i am M.Tech(AI) student struggling with linear regression from yesterday
most wonderful explanation on linear regression on youtube.....thank you very much
Can you please explain how the formulae for slope m and R square were derived and their interpretation?
Is there any acceptable range for R^2??? As for the inclusion and exclusion criteria of a dependent variable the p-value of linear regression has a range..
Please explain! How to optimise the regression line through the coding & gradient method and how to use it for predictions? Thank you.
Awesome video...made a complex understanding to a very simple understanding..trust me I was struggling to understand the Liner Regression for more then 1 month and my struggle ends just in 38 min of this video.. the explanation was superb Thank you is a little word.. God Bless you..
Sir your voice is so clear thanks to explain
Hello team, Should we need to convert all continuous independent variables to categorical variables for logistic regression?
Now my concept of Liner Regression become clear. Thank you so much for providing free education.
@edurekaIN
4 жыл бұрын
Hey Shubham, thanks for the compliment! We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials.
Awesome 😊.... basically a spoon feeding explanation...loved it.
According to the formula for r-square, there is no subtraction from one... but in the implementation via coding, i noticed you subtracted from 1. why is that?
Helped me in understanding my regular AI lectures
Very clear, neat and fantastic explanation to the linear regression.. Very well done!!... Thank you...
@edurekaIN
4 жыл бұрын
Hey Abirami, thank you for the compliment. Do subscribe, like and share to stay connected with us. Cheers :)
can we find glucose value in mg/dl by using sensor value and the standard value of glucose using linear regression??
Awesome and Qnique way to teach using Mathematical Analytics and Graphs.....Thanks
Very well explained. Awesome tutorial Bro.
how should i start with ml?
Excellent lecture.I've followed many lectures, in linear regression analysis, but those were useless,but, your lecture was good,
@edurekaIN
4 жыл бұрын
Hey Sachin, thanks for the compliment! We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials.
Wow, this video was beautifully executed. Everything was so well explained.
Thank you so much I have been seeing various videos to understand this topic but you killed it. I loved the explanation 😍
@edurekaIN
4 жыл бұрын
Hey, thanks for the compliment! We are glad you loved the video. Do subscribe to our channel to stay connected with us. Cheers!
This was the best one amongst all the videos I went through.. nice.. I need data set too...
@edurekaIN
5 жыл бұрын
Thanks for the compliment! Can you please share your email id with us (it will not be published). We will forward you the source code to your email address.
Thanks to Edureka for delivering the knowledgeable content
Awesome, It's a great explanation. I got it, thanks a lot. Quality Unmatched, A Vigorous teacher.
@edurekaIN
5 жыл бұрын
Thanks for the compliment! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!
The presentation is great. May I know how you created these presentations (is it power point presentation or something else?)
@edurekaIN
6 жыл бұрын
Hey Amritha, we use power point to create all our presentations. We are glad that you liked it. Cheers :)
watched lots of videos to learn this. understood nothing. but, u guys just killed it.
@edurekaIN
2 жыл бұрын
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
That last twist of scikit learn saved me from that for loop... thank you so much for this presentation...
The best Linear Regression tutorial i have ever seen!! Thank you edureka!!!
@edurekaIN
4 жыл бұрын
Thank you for appreciating our efforts. Do subscribe to our channel and stay connected with us. Cheers :)
the best explaination i have ever seen on linear regression. simple and the best way to understand. thank u so much
@edurekaIN
Жыл бұрын
Good To know our videos are helping you learn better :) Stay connected with us and keep learning ! Do subscribe the channel for more updates : )
Awesome explanation . Thank you edureka. Explanation is Very understandable manner to even poor mathematical background people. I need clarification. When R(square) is very less how to increase R(square) to make best fit of line. Is there any formula or mathematical procedure. Kindly clarify me.
@edurekaIN
5 жыл бұрын
Hi Ravi, thanks for the compliment. Try removing any insignificant variables. Usually when there are more predictor variables in the data set, the R square value tends to decrease.
Great stuff!!Please send in the dataset
really good explanation of coding part .
The video was very amazing. It helped a lot! Thanks!
the perfect explanation of linear regersssion model
@edurekaIN
Жыл бұрын
Thank You 😊 Glad it was helpful!!! Keep learning with us..
finally this video help me continue.....
awesome tutorials u guys must come and teach in our college
Well explained...
Best explanation on Linear Regression. Only python part is little quick.
Very well explained. Neat and sweet!!
Thank you very much Sir! This is very helping me. May God bless the team!
@edurekaIN
2 жыл бұрын
Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fulfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Great video man :)
Excellent explanation it was.
It was very nice and easily understandable...thank u
best video i have ever seen on linear regression
@edurekaIN
2 жыл бұрын
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
Loved it, excellent explanation.
it was a nice session. Can you please share code and dataset?
thank you so much I have a good understanding of regression now
This explanation was so clear, even a man who dont know about machine learning , the person can easily understand the concept.
@edurekaIN
2 жыл бұрын
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
How can I form the equation if I have 4 variables affecting prediction?
Awesome. Very good explanation. Thank you.
I love your tutorial. Excellent sir! In first attempt I learnt Linear Regression. Thank you very much.
Need help what if the coordinates are not continuous on the x axis for example x-axis = 0 1 2 3 4 5 y-axis = 0 1 2 3 4 5 coordinates = (2,3) (4,3) there is a gap between the x coordinates so is it possible to get the regression line ?
The best explanation i have seen on this topic. Thank you.
@edurekaIN
8 ай бұрын
Wow, thanks!
best ever explaination i have watched and you saved much of my time thank you so much
@edurekaIN
2 жыл бұрын
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
Very well explained. Thank you so much. 👍👌
Very good basic understanding delivered. Good refresher. Thanks for this video.
Very nice and detailed explanation about regression analysis.Thank you so much for edureka for providing this importnat vedio.
@edurekaIN
3 жыл бұрын
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
Thank you so much!!! Damn clear about Linear regression
@edurekaIN
2 жыл бұрын
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
please Edurake next video insert the timeline content key note, so that in the video one can navigate to specific key note.. thank you
TNX FROM MEXICO
Amazing video....really cleared out a lot of confusions. Will it be possible to get the data set?..
@edurekaIN
4 жыл бұрын
Thanks for the compliment! Please mention your email id (it will not be published). We will forward the dataset to your email address.
Superb explanation ☺️ thanks to instructor who explained in very easy way
@edurekaIN
Жыл бұрын
You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
great video! but please improve the sound quality :) thank you very much
@edurekaIN
5 жыл бұрын
Hey Aaliyah, we are glad you loved the video and thanks for the compliment. Do subscribe to the channel and hit the like button to never miss a video from edureka in the future. Cheers!
Thank You I'm very well understand it
@edurekaIN
5 жыл бұрын
Hey Manisha, we are glad you loved the video. Do subscribe and hit the bell icon to never miss an update from us in the future. Cheers!
Very well Explained!
Fabulous explanation! clear precise and straight to the point.
@edurekaIN
2 жыл бұрын
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
Sir, could you please help me with the source from where you had downloaded that hairbrain dataset?
@edurekaIN
6 жыл бұрын
Hey Suravi, sure. Mention your email address and we will send it over. Cheers :)
@dikshamakkar2850
4 жыл бұрын
@@edurekaIN sir can u send the data set u used...
@edurekaIN
4 жыл бұрын
Please share your email id with us (it will not be published). We will forward the dataset to your email address.
how the formulas will be modified if y depends on more than one variable ?
@SaurabhKumar-bx1sj
6 жыл бұрын
Anshuman Singh multiple regression
Great session. Will be greatfull if data set could b shared
@edurekaIN
5 жыл бұрын
Hey Farheen, glad you loved the video. Please do mention your email id and we will send the files to you. Cheers!
thank you, this video helped me lot in this pandemic, with online classes and offline exams. thank you so much
What a simple explanation. Kudos, man.🥰🥰🥰
@edurekaIN
Жыл бұрын
Glad you liked it!
Excellent 😍
Beautifully explained, Abridged the gap between Theoretical and practical knowledge. This is what we want!!!!
Nice , well explained.
Really superb ..
can someone explain X=X.reshape((m,1)) # cannot use rank 1 matrix in sk learn
Awesome Video!... Very nicely explained and easy to understand.
@edurekaIN
5 жыл бұрын
Thanks for the compliment, Ganesh. Do subscribe, like and share to stay connected with us. Cheers :)
Loved the tutorial and always follow edureka for simple understanding
@edurekaIN
2 жыл бұрын
Glad it was helpful!
Nice Sir....
It is very good!
29 mints just clear my one week confusions
Very impressive sir 🙏🙏
I was revising the topics and getting prepared for the Job interview, and going through this set of videos. I really like the way the topic is explained thoroughly with examples and animation. It covered most of the parts related to this topic. I really like the presentation, would suggest whoever planning to understand the topics related to this.
@edurekaIN
2 жыл бұрын
We are very glad to hear that your a learning well with our contents :) continue to learn with us and don't forget to subscribe our channel so that you don't miss any updates !
Very Nice explaination. Thanks a lot.
Wow this helped me a lot! great video!!!
@edurekaIN
5 жыл бұрын
Thanks for the compliment, Siphesihle! We are glad you loved the video. Do subscribe to our channel and stay connected with us. Cheers!
How we know which is best fit algo in regression i.e. Mean sqaure error, measure by loss or R Squared? Can we use any one of them.
@edurekaIN
4 жыл бұрын
Hi there. This really cannot be fully predicted. It is based on the application that you use. You can try all three models and then check the accuracy and accordingly use the required model. Hope that helps your query.
Great job nice explaination! 👌 Thank you so much. please explain the code with more details 🙏🙏
@edurekaIN
3 жыл бұрын
Hi Saurabh, kindly drop in your email id to help us assist you with the required source codes. Cheers :)