Logistic Regression | Logistic Regression in Python | Machine Learning Algorithms | Simplilearn
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- Опубліковано 8 лип 2024
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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.
Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image
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What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression
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Simplilearn Could you please explain what random state is and how we use in logistic regression?
Why is log(odds)=equation of the line at 14:47 ?
@@sreejachakrapani4707 Random state means when ever data is split into train data and test data it is done randomly but if u put a number against random state every time you run the program the data split will be same and answer will be the same.
Thanks for your valuable input!
You made Logistic Regression so fun! Thank you! I did not want to take Predictive Modeling, but you inspired me so much! I gained so much knowledge in 1 hour. An amazing video. Thank you.
Great to hear that Simplilearn is helping you learn better .
This is simplest explanation I found for logistic regression after viewing more than 15 videos ... Thank you Mr Mohan, really appreciate it
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This was fantastic. The content and the presenter were flawless. Been looking at logistic regression introductions for a week now. This is by far the best. Thank you so much!
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
Let me say thank you so much for this huge valuable work. It is so easy, you are a professional teacher.
Hey Hamzawi, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Excellent way of explaining Logistic Regression. The explanation was so lucid and clear. Thanks
We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!
Nice explanation on Logistic Regression for beginners!!! Thank you :)
Hey Tarun, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Thank you so much for sharing the knowledge. It's helpful :)
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Love this series. You guys have made machine learning so simple.
We are glad you liked the video Vaishali:) If you are thinking of signing up for the course, please click on the link for more information: www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course.
Thank you so much you nailed the logistic regression topic❤❤❤❤
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Upto now I got more confused with this algorithms... but after this video it's very easy😊
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excellent teaching....i have a doubt i.e.
where we use hypothesis testing and a/b testing in this problem. and what is the purpose of them?
and where we use regularization method in this model?
thankyou......
It was well explained. Thank you
Hey Jerome, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Tq so much for your very understandable lecture sir😍😍😍
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
thank you very much ...
Hi Elekronik, thanks for watching our video. We have sent the requested dataset to your mail ID. Do show your love by subscribing to our channel using this link: ua-cam.com/users/Simplilearn and don't forget to hit the like button as well. Cheers!
Thank you very much very clear!
Thank you so much. I was really having a hard time understanding machine learning algorithms. but now after watching this I can confidently give a presentation on it. Thank you. Is there any pdf regarding this video u may provide? It would be really helpful. Again Thank you so much.
Thanks for appreciating our work. We do not have pdf format of this content but you can check out the slides using this link: www.slideshare.net/Simplilearn/logistic-regression-logistic-regression-in-python-machine-learning-algorithms-simplilearn
Very well explained video.
Much thanks for the time you spent putting all this together
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Very helpful information.. Thanks
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Hello Simplilearn. Your content is super nice. It made a novice like me who has a little knowledge about programming learn Machine Learning in an effortless manner. A request I would like to make that I am watching all of your videos to learn about all the different algorithms like Logistic Regression, SVM,RF, so every time asking about the dataset breaks the consistency cause it takes time for you to send also, so can you keep my request of sending the datasets for all the models in once so that my continuity doesn't break.
Thank you for your review. We’ll strive to do better.
Can you please explain how we can use interaction variable using stats model.logit? Please explain how the data is prepared for interaction term.
super video !! really appreciate the contributors.
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thnaks for the video. Just have a question at 9:53, the graph which was showing that above the threshold the car will break down (i.e 1) and below the threshold(.50) the car will not breakdown(i.e 0). My question is what the model will predict at the threshold, means at exactly 3.5 years will this model predict that the car will breakdown or not.
Thanks in advance!!
Thank you, sir!
Very welcome!
its really wonderful session . Thanks a lot.
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
Very good explanation .
Thanks and welcome
Great job, thank you so much.
Glad it was helpful!
You can achieve accuracy upto ~97.5%
Do this,
X_train,X_test,y_train,y_test = train_test_split(digits.data, digits.target, test_size = 0.2, random_state = 30)
model = LogisticRegression(solver = 'lbfgs', max_iter = 10000)
Output
print("Accuracy score: {}".format(accuracy_score(y_test,y_pred)))
Accuracy score: 0.975
Thanks for sharing your input and knowledge.
Excellent thanks for sharing!
Glad you enjoyed it! Thanks for watching!
really clear explanation, thank you
You are welcome!
@@SimplilearnOfficial Could you please tell me why we didn't we used r2_Score() method to find accuracy of our model ? when I tried to find it , it came very less..That means model is not trained properly ? Please help me with this.
Well explained
Thanks a ton!
Hi , I have a query here. Log Reg is suitable for binary classification, but in this example we have used it for multi class classification. So does the library LogisticRegression class understand by itself whether it is binary/multiclass and works accordingly, saving the effort from our side ?
Yes the class will be able to identify whether to do binary/ multiclass classification.
Thanks bro:)
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Very good video, good explanations.
We are glad you found our video helpful, Robin. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Brilliant Mohan. Your sessions are my favourite.
Thanks a ton! Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
Nice explanation!
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Cool video! What I don't understand is how you get a certain number as a outcome of the logistic regression. I thought the outcome would be binary (yes / no)? Do you loop through every number from 0 to 9 for every case and take the result with the hightest accuracy?
HGH
sir i have started Learning machine Learning from your UA-cam channel and special thanks for linear regression class now please share logistic regression dataset with me
Hello Arvind, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
@@SimplilearnOfficial sorry to say actually i forgot to write my mail id
my mail id is aksahuboss@gmail.com
Hi, thanks for watching our video. We have sent the requested dataset to your mail ID. Do show your love by subscribing to our channel using this link: ua-cam.com/users/Simplilearn and don't forget to hit the like button as well. Cheers!
Thank you so much for making it look so simple. Can you share the dataset and the code by any chance please? Thanks once again 😃
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Thank you Simplilearn team for the clear explanation. Can you please provide the datasets and the python notebook used in the video?
Hello Aisha, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
why did you choose test size to be 0.23 and random state to be 2? Can you explain it to me please?
Thanks for the video, well presented. One suggestion - you might want to have a more realistic example. The car breakdown example is not realistic at all as any car owner will attest to. No car will be able to run without service even for a year. Though I know it is for illustrative purposes, it would be good if the example could be a bit more realistic. Another suggestion is to explain more on the difference between linear and logistic regression by providing more more insight into data types and independent/dependent variables. That'll be more helpful for newcomers.
Hey Sudhagar, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)
@Simplilearn Could you please tell me why we didn't we used r2_Score() method to find accuracy of our model ? when I tried to find it , it came very less..That means model is not trained properly ? Please help me with this.
"Hi ,
The r2_score() should lie between 0 and 1. If the r-squared value is closer to 1, then it's is a good fit model. "
it is the great video, could you please share this data samples and code source so that we can learn and practice more clear?
Hi Tran, we are glad that you liked our video. We are happy to provide you with the code source if only we have your email ID. So, share your email ID with us and if you want to keep it hidden from other viewers, we can do that as well.
Hope that helps.
Great Video. Could you please share the data set & code used in this video.
hari.sompalli0205@gmail.com this is my mail id, you can share the data with this mail. Thanks in Advance.
Hi Hari, thanks for checking out our tutorial. The dataset for this particular video was not taken from the external source. The dataset is part of the code and you can access it by yourself. Hope that helps!
Well explained ,please ,
i want to know why did you use B0+B1h ?
This equation is the basis of how we perform logistic regression. It is the equation of the straight line.
It is with this value that we obtain the sigmoid function.
Please upload video on polynomial regression
Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!
How Logistic Regression is giving output as whole numbers as prediction? As per video Logistic Regression is supposed to classify output into 2 categories, whether an event is true or false in a binary way. Please clarify this doubt.
Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!
i didnot understand why variable name you took as "wrong" in last block of code. What you are trying to do here
Thanks for such a great video. Can you please send me the Lecture slides and Code with Data Set ?
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
How did the linear regression graph should be changed from straight line to curved graph in logistic regression? At 13:40.
I can't understand this. Plz give me reply, my project is based on that point.
Hi Aran, Logistic regression uses a sigmoid function to align all the values between 0 and 1. The equation it uses is P=1/(1+e^-z). For more info, check this: ua-cam.com/video/I7NrVwm3apg/v-deo.html.
Thanks for sharing this tutorial. Super helpful!
I keep receiving this "invalid type promotion" error at logmodel.fit step. Not sure if anybody else is receiving it. Trying to find out the solution on the internet but nothing related to the situation I am finding this error in.
File "/PythonFile.py", line 120, in
logmodel.fit(X=InDep_Train,y=Dep_Train)
File "\venv\lib\site-packages\sklearn\linear_model\_logistic.py", line 1525, in fit
accept_large_sparse=solver != 'liblinear')
File "\venv\lib\site-packages\sklearn\utils\validation.py", line 739, in check_X_y
estimator=estimator)
File "\venv\lib\site-packages\sklearn\utils\validation.py", line 459, in check_array
dtype_orig = np.result_type(*array.dtypes)
File "", line 6, in result_type
TypeError: invalid type promotion
Very well explained.can you please share the code and the data set. thank you !
Hello Aparna, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Dear Simplilearn...
The video is simply awesome as you about logistic regression.
can you please share the data and code with me for practice?
Hi, thanks for appreciating our content. We are so glad to have helped. It would be great if you could provide your email ID to us so that we could send the requested dataset immediately. Thanks.
@@SimplilearnOfficial invinciblereddaiah@gmail.com
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can u plz also send me the same code for logistic R* 999shubhamsk@gmail.com
Hi Shubham, thanks for checking our tutorial. We have sent the requested source code to your email ID. Do like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Logistics regression uses both log livelihood and maximum livelihood???
Hi your video is very good for understanding can you share the dataset?
Hello Pallavi, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Thank you Simplilearn for providing this fantastic course, really appreciate it. May I have the data set and the python notebook file? If possible I prefer my email to be privately delivered to your team, so that you can send it to the email, thank you.
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
This is a good series for learning machine learning. Can you send me the csv file.
Hi Haitham, please leave your email ID in the comment section below. We will send the dataset directly to your inbox. Thanks!
I want dataset alongwith code ...thank you for sharing knowedge
Hi Vijay, thanks for watching our video. We have sent the requested dataset to your mail ID. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
HI, can you please post the link to the code and the data used in the descriptions of your videos?
Hi Derick, we have shared the source code already to your mail ID. Thanks.
Thank you for the wonderful video but i want to ask one thing that you started this video by saying that we are trying to predict the value in a yes or no, means binary classification but in the implementation part the answer was not in terms of yes or no....the prediction was for discrete values but what about prediction in " yes or no" concept
The author should have mentioned he is doing multiclass logistic regression. That said , it is still LR. Time stamp 20:30 , see multi_class = ‘ovr’
Cool video , but you have wrong definition of discrete and continuous data tho , a set of integers from 1 to 5 is discrete data , while a set of all possible numbers from 1 to 5 is continuous data
Hi Jan, thanks for pointing out. We have raised the complaint to the tech team. Stay tuned!
cannot import name 'train_test_spilt' i'm getting this error can u help me how to fix this
Hi kandula, please use "from sklearn.model_selection import train_test_split" instead of cross_validation
Where is the dataset? can't find it in description
I am getting unicode error after importing 1000_companies.csv file. Kindly help anyone
can you please provide the dataset and code
can you please send me the data-set for practices same or similar data-sets
Hi Dominic, thanks for watching our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps!
@@SimplilearnOfficial domnicroy@gmail.com
Hi Dominic, thanks for sharing your email ID. We have sent the requested dataset to your mail ID. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
@@SimplilearnOfficial could you please share the python file to the mail id teja.gvp@gmail.com
This video was very nice but he has pre typed those code. It would be nice if he coded it step by step.
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can i get the code of the above example?
Hello Furqan, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Great tutorial, thanks! Can you send me the code and dataset? Tell me where to email you please.
Hello Russo, thanks for viewing our tutorial. It would be helpful if you will provide your email ID in the comment section so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hi. Sounds good, yes I'd like my email kept private. It's lrusso@gmail.com. Thanks!
Hi Russo, thanks for sharing your mail ID. We have sent the requested dataset to your mail ID. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Superr
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Pls send the data set and python file for practices
Sent!
Dataset please
Hi Sajid, we have sent the dataset. Cheers!
Can I please get the dataset
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
@@SimplilearnOfficial I want to keep my email hidden.
Need better sound quality.
Thank you so much for bringing this to our attention. We reported this right away to the relevant department.
can u please share the csv file ??
Hello Bharat, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
very elaborative tutorial but aren't datasets attached to the video to make it for us to follow up because sometimes you take too long to reply to us
Sorry for that! Please share your email id with us. We'll get back to you ASAP. Thanks for watching!
@@SimplilearnOfficial kanjakagimbi@gmail.com my email
can you give me dataset so I can practice
Hello Sergio, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
smalhao1980@gmail.com
Hi Sérgio, thanks for sending your email ID. We have sent the requested dataset to your mail ID as well. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
share souce code
Hi Saddam, thanks for watching our video. It would be great if you can share your email ID with us so that we can share the dataset as well as the source code immediately. Thanks.
Hi, could you please share it to me too! iisheikh23@gmail.com
I think it would be great if you could create a github repo for us to clone and work though your great examples! Great video!
saddamshaikh4570@gmail.com
Hi Team, Can you please share dataset and source code with me on hphulara996@gmail.com . Thanks a lot.
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Math is not explained clearly, there is no intution of what and why? Teaching without intution like this is the equation of logistic regression and this is the code for this is not good. ML doesn't have fixed number of algorithms that can solve any problem. We need to undertand the data , the given problem and modify the algorithms to fit for our need. I would suggest to check logisitic regression by statquest, see how they have explained it very deeply. I really hope all the other videos in your courses are not like, cause i was thinking about taking your course but now not sure anymore.
File and code please? Thank you!
Hello Radhika, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial Hi Team, please send me the files on radhi.85@gmail.com. Thank you!
@@azuremosaic Hi Radhika, thanks for watching our video. We have sent the requested python code to your mail ID. Do subscribe to our channel and stay tuned.
😍
Can you email the data set for practice?
Hello Himanshi, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial I wish to keep it hidden.. can you tell me where and how should I share?
Hi, you can share your email ID with no hesitation coz no comments get published without our approval.
Hi Himanshi, we have sent the requested dataset to your mail ID. Cheers!
Thank you for a tutorial of ML algos. But The voice cant be heard well!!! The voice is horror
Thank you for letting us know know about this. Your feedback helps us get better. We are looking into this issue and hope to resolve it promptly and accurately.