Logistic Regression Explained with Practical example
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- Опубликовано: 8 июл 2020
- In this video, I have explained what is logistic regression, What is Sigmoid Function and S shaped curve. What is the math behind logistic regression and how to create own logistic regression algorithm.
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer your queries.
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What is meant by logistic regression?
Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set. A logistic regression model predicts a dependent data variable by analyzing the relationship between one or more existing independent variables.
What is the main purpose of logistic regression?
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest.
Why logistic regression is the best?
Logistic regression is a simple and more efficient method for binary and linear classification problems. It is a classification model, which is very easy to realize and achieves very good performance with linearly separable classes. It is an extensively employed algorithm for classification in industry.
#ML #MachineLearning #SupervisedLearning #LogisticRegression #MLAlgorithm #logisticregression #PifordTechnologies #AI #ArtificialIntelligence #DeepLearning
![Logistic Regression [Simply explained]](http://i.ytimg.com/vi/C5268D9t9Ak/mqdefault.jpg)
awesome. very easy to understand. Thank You!
You are welcome!
Great lesson. You explained the whole process in a very simple way (of course it is much complicated when done on a complex dataset), but this short lecture really summarizes on a high level what exactly has to be done for prediction using Logistic regression.
Thank you, it was extremely helpful for me...
Glad it was helpful!
I really speaking i learned so many things reg., dL i,e CNN, ALEXNET RESNET-50.....IDENTITY BLOCK.....ETC...
Glad my videos helped you
Very very good explained. Thanks for this tuto
Glad you liked it
How is the value of x calculated?
I was Seen More videos about the codes for logistic regression i didn't understand clearly,but when i am seeing your video easily to understand to me .
Excellent and nice teaching mam👌
Glad it helped!
clear and easy-to-understand explanation
Glad it was helpful!
A good one. Simple and clear explanation. You concentrated only what is required. Thank you.
Glad it was helpful!
@@CodeWithAarohi really yes.
Thanks very much...clearly explained
Glad it was helpful!
@@CodeWithAarohi Thanks...just to understand which is the step y_test value is getting calculated
Very good explanation, thank you😊
You are welcome!
i like it, very clear and easy to understand. thank you, keep up
Welcome
I would like to salute tons of time for your way of explain,
May you pls attach the data set also so that we can also practice from our sides...
Thanks
May you pls send the data set at
dr.jainarpit@gmail.com
May you pls send the data set at
dr.jainarpit@gmail.com
Glad this video is helpful and you can get the dataset from www.kaggle.com/kumargh/pimaindiansdiabetescsv
Mail sent
Excellent explanation and very easy to understand.. well done
Thank you!
Love your teaching style. Please provide github link.
As soon as possible
Superb, lot of doubts I had got cleared , thank you so much.
Just a one doubt, Model is finalized after checking accuracy? or few more steps involved?
Yes, correct
if i want to learn Complete ML and DL ..which plan u suggest
I have posted all the videos on youtube. You can learn it from there. Membership is for my channel support. If you wish you can join any membership level.
informative
Thanks!
madam may i know wt r the benefits u r going to provide if I am take membership ....clearly tel me madam
Benifits of membership: You can ask your queries or errors (but not very frequently) and I will try to guide you.
How to set threshold value in our code? Is it necessary 0.5 is threshold value
si
Supurb Videos.
Thanks a lot
i want to learn complete python from u ....which member ship i have to take ...
Membership is not for teaching. You can learn for videos I have posted.
Please enable subtitles, can we use subtitles in other languages?
How we classify the class when the logistic regression function value is 0.5.
Good job mam.
Keep it up.
You can set the thresh hold value. According to that value you can work with value 0.5 . Suppose you have mentioned that any value which is equal to or less than 0.5 should get classed as 0 class.
@@CodeWithAarohi Thank you mam.
Accuracy is 77%
I want to improve the accuracy
How to modify the algorithm
1- Check if your dataset is clean. 2- Check if dataset is sufficient. If not then try to increase the dataset.
Mam ap hindi ma video bana yea ,to or acha sa shikh payega , plz .....
Sorry for inconvenience but right now I am posting in English. I will think to make the tutorials in hindi later.