Hindi Machine Learning Tutorial 8 - Logistic Regression (Binary Classification)
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- čas přidán 16. 09. 2019
- Logistic regression is used for classification problems in machine learning. This tutorial will show you how to use sklearn logisticregression class to solve binary classification problem to predict if a customer would buy a life insurance. At the end we have an interesting exercise for you to solve.
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Code: github.com/codebasics/py/blob...
Exercise: Open above notebook from github and go to the end.
To download csv and code for all tutorials: go to github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.
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![Logistic Regression [Simply explained]](/img/n.gif)
To learn AI concepts in a simplified and practical manner check our course "AI for everyone": codebasics.io/courses/ai-for-everyone-your-first-step-towards-ai
The great thing about you is a point-to-point explanation, no unnecessary talk.
I can't forget throughout my life. What I could not understand for the last 3 years, I could understand within 3 weeks. This is not a joke, it is a reality.
Mazhar, thank you my friend for your kind words of appreciation
Simply superb....One of the best series in you tube...
May you rise and shine ... superb explanation ! Thank you !
Sir mene abhi tak jhan se bhi ML padhi h apke jaisa tarika nhi dekha padhane ka nice sir. 👍🏻
What a nice demonstration!!!!.......Keep it up👍
bhai waah maza aa gaya kya mast vdo hai ek dum easy to understand keep it up sir
thank you sir the best way to learn ML,but sir the difficult part is in excersise and the easy one you explained ,
Absolutely amazing
amazing.
astounding.
bewildering.
breathtaking.
extraordinary.
impressive.
marvelous.
miraculous.
even all these adjectives are less to tell the quality of the video.
Thanks a million.
oh you commented here in hindi channel too :) Thanks again.
Very great lecture sir, please upload more videos sir
nice explanation sir, thank you sir.😊
How logistic regression model is used for classification problem? Explain with suitable example
Is this video is perfect of answer of this question?
Great Explanation Sir
Thank you for the amazing tutorials. I need a bit help. I was seeing that in the exercise, and in your exercise files, you have removed the salary column but not one of the columns to avoid "dummy variable trap". I am confused now should i remove one more column to avoid "dummy variable trap' or not.
kindly can you help on this.
Nice video thank you so much
Good content.
the way you tech is best ill suggest my friends this tutorial
Bhavesh..thanks for the support
Nice Sir 👍
Nice sir
thanku so much for making such a nice tutorial..
My pleasure 😊
Please tell me where to get numerical examples of Logistic Regression?
i have a file as an assignment and i that i have movies their views and rating. i have to predict the rating depending on the views so i need your suggestion on that.. so how to contact you.
I m not able to download the exrecise CSV file. It is showing too many requests. What should I do sir ? Help pls
Sir ek ek line ka explanation kitna aache se aap ne diya , dhanyawad.
from where i will get this csv file i.e. exel ?
plz reply
salute to your explaination
I am happy this was helpful to you.
ap bohot accha parate hai sir. sir ho to ap jaise.
you are best guru in the youtube . thanks for teaching.
So nice of you
11:44 best explanation for model fitting / training 🤣🤣🤣
I am practicing but i am unable to get the same data set to check my proagrame.
Awesome video, but you are not showing to Logistic regression chart/graph.
if someone's code not working due to 1D array use this instead
x_train = x_train.values.reshape(-1, 1)
y_train = y_train.values.reshape(-1, 1)
x_test = x_test.values.reshape(-1, 1)
y_test = y_test.values.reshape(-1, 1)
instead use
X_train,X_test,y_train,y_test=train_test_split(df[['age']],df.bought_insurance,test_size=0.1)
Why 2D array is used for X_train and 1D for y_train?
Sir ARIMA ,SARIMA model per yak vedio bana dijiye
Hi Sir,
Hope you are doing well
It scores 83% accurate when I giving 20% data for testing.
and scores 100% accurate when i giving 10% for testing.
Please help me regarding for this.
Sometimes i got the score 0.8888, 0.7786666 and 1.0 also, why the score is different each time i run the code.
hello sir plz share this video exercise code
for better experience , switch to 2x speed
I need help plz
Sir aur video banayo hindi me
The Exercise is not from what you have taught in previous 6-7 videos.
Sir lekin koi bhi Model 100 % accuracy kaise de skta hai 100% jaise to kuch hota nahi hai hai model me,q maine kiya woo show kiya teacher ko to unhone galat hai
bro, what you said is completely correct but its only applicable in real-world or complex datasets and you get 100% accuracy because you may have used a dummy dataset not the real data. So what you get as an output is correct. I hope this will help you.
@@reviewbyanand thanks 👍
Insurance CSV file sir
Where is pandas tutorial??
I
got Model Score =81.10
nearly
1:58 banda kis ban....party ko vote karega hahahahahhaha btw best explanation ever sir
My training score and testing score of ur employee data is Training score: 0.7971375233354075Testing score: 0.7957333333333333 .Is it true or not.Please
tell me sir.I am waiting for ur response
Which features did u use
I dropped work accident and mine was .77
Video in Hindi, Comments in English 😂😂
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