00:02 Implementation of Logistic Regression in Python 02:17 Implementing logistic regression in Python with feature selection and null value handling 04:31 Converting categorical data to numerical format for logistic regression 06:45 Understanding independent and dependent features 09:16 Logistic regression involves important parameters like penalty, normalization, and scaling 11:25 Setting penalty and other parameters in logistic regression 13:59 Scoring is crucial in classification problems 16:45 Implementing logistic regression in Python with classification matrix 18:40 Understanding the relation between pattern length settlement in logistics
This is incomplete video like others, what about 3rd category " Setosa", which you removed before developing your model. Also you didn't show predicted value or category with new inputs?
Full course data science sikhne ke baad job mil jayegi sir? I have 15 year of experience in html, excel , ms word Sir please reply. Sir abhi python Sikh rha hu
Hello sir I'm afreen from hyderabad Can you make 1 complete video on any Dataset and explain how can we do complete data science project step by step Eda feature engineering feature scaling and train and test data algorithm Pridction
Mujhe samajh nhi aara ki koi project mil gaya aur use first kya karna hai kaise kaise karna hai Elasticnet Skeweness quadratic anova test sub kahan use karna hai aur kaise use karna hai I'm very confused
Hello sir, How to solve A Classification problem in which training data has only one class? 'This solver needs samples of at least 2 classes in the data, but the data contains only one class: 1', please help me out
When I'm trying to run classifier_regressor.fit(x_train,y_train) it says input contains Nan,infinity value loop or too large value for dtype float. I'm running code on colab. How to solve this error?
It would be if you can explain the things for beginners. Basically this is a feedback for you it would be better if you explain more in your every video instead of explaining the upper things only.
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Rocking ...Sir glad to hear you in Hindi. I hope ML ka jo dar lag raha hai woh nikal jayega aab. Thank you so much Sir
Finally got RUclips channel where I can learn every thing ❤
18:14 huyii nahi Sir hue 😂
Great Explanation!
00:02 Implementation of Logistic Regression in Python
02:17 Implementing logistic regression in Python with feature selection and null value handling
04:31 Converting categorical data to numerical format for logistic regression
06:45 Understanding independent and dependent features
09:16 Logistic regression involves important parameters like penalty, normalization, and scaling
11:25 Setting penalty and other parameters in logistic regression
13:59 Scoring is crucial in classification problems
16:45 Implementing logistic regression in Python with classification matrix
18:40 Understanding the relation between pattern length settlement in logistics
best video on end to end logistic regression, thanks
The best and detailed tutorial. Thank You So much sir.
💥thanks sir your 7days videos are really helpful
Sir keep going with Stats playlist (in Hindi)
thankyou so mucg sir for this lecture
Thank you Krish naik Sir
Thank you sir.
Very well explained
can u please explain logistic regression with its dot product and mathematical implementation on python?
Accuracy formula reverse nahi hoga kya??
accuracy_score(y_true, y_pred)
hindi me best lag raha hai sir
thanks sir for this amazing video
Well explained!
Sir, what about activation functions? You have not talked about activation functions in your model implementation.
Thanks sir 😍
This is incomplete video like others, what about 3rd category " Setosa", which you removed before developing your model. Also you didn't show predicted value or category with new inputs?
Hi Krish Naik Sir, Request you to upload some ML Use case on Healthcare.
what is difference between best score and accuracy? I tried doing with different datasets and I am getting same value for best score and accuracy
Full course data science sikhne ke baad job mil jayegi sir?
I have 15 year of experience in html, excel , ms word
Sir please reply.
Sir abhi python Sikh rha hu
Hello sir
I'm afreen from hyderabad
Can you make 1 complete video on any
Dataset and explain how can we do complete data science project step by step
Eda feature engineering feature scaling and train and test data algorithm Pridction
How did you use y_pred u didn’t define it
Sir please upload more lectures of ML
Mujhe samajh nhi aara ki koi project mil gaya aur use first kya karna hai kaise kaise karna hai
Elasticnet Skeweness quadratic anova test sub kahan use karna hai aur kaise use karna hai
I'm very confused
Data science ka course bhi hindi me ayega kya?
Thanks
Sir, How to choose the value for random state? is it always supposed to be 42?
you can choose any random value.
Hello sir, How to solve A Classification problem in which training data has only one class? 'This solver needs samples of at least 2 classes in the data, but the data contains only one class: 1', please help me out
konsa shortcut use kr rahe ho defulat value dekhne ke liye logistc reg me
Shift+tab
When I'm trying to run classifier_regressor.fit(x_train,y_train) it says input contains Nan,infinity value loop or too large value for dtype float. I'm running code on colab. How to solve this error?
Please check for your Nan values or missing values before training model.
@@jitendrarathod6246 I did that but still got the same error
aapne x me se target variable nikal diya pahele hi. to ye train kaise karega?
There is y train also
How to test this model using new data set. Can anyone help me ?
Sir when I'm removing setosa I'm getting "NAN" Why?
Please let me know if you get the solution to the same, also are you using Colab by any chance
did you get the soln?
BCZ IT HAD NONE VALUE
It would be if you can explain the things for beginners. Basically this is a feedback for you it would be better if you explain more in your every video instead of explaining the upper things only.
It is beginner level only .. i m also a beginner … U just need to learn about pandas and some libraries prior to..
can we apply logistic regression for positive, negative, and neutral output of 3 dimensional data example. positive=1,negative=0 and neutral=2
Yeah but in this case u apply softmax regression becoz u have 3 clasess like u say positive negitive and netural
Sir in cell number 11 I am writing the same code using .map() method but I am getting NaN values in species column as an output.pleas help.
i think you should check the place where species many of the data set there was written like = class =
How do we select relevant features?
Principal component analysis
Hello sir
Can I apply for data science jobs after doing MCA aiml specialization course
Please clearify my doubt.
bhai tune ye kya model banana sikhaya hai, har kuch toh sci kit se import ki hai. Sci kit tutorial rakh de video ka naam
bro error here which didnt findout the solution
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
in
1 #find out the category of setosa species
----> 2 data=data[data['species']!='setosa']
3 data.head()
2 frames
/usr/local/lib/python3.8/dist-packages/pandas/core/indexes/range.py in get_loc(self, key, method, tolerance)
386 except ValueError as err:
387 raise KeyError(key) from err
--> 388 raise KeyError(key)
389 return super().get_loc(key, method=method, tolerance=tolerance)
390
KeyError: 'species'
sir please explain this implementations in English language only !!!!
Thank you sir