Logistic Regression Practical Implementation In Python|Krish Naik|Hindi

Logistic regression is a process of modeling the probability of a discrete outcome given an input variable. The most common logistic regression models a binary outcome; something that can take two values such as true/false, yes/no, and so on.

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[Tech_insider]

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

[manishakanase]

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

[GokuOfficialStore]

Finally got YouTube channel where I can learn every thing ❤

[tarabalam]

best video on end to end logistic regression, thanks

[kshitijsahdev]

18:14 huyii nahi Sir hue 😂
Great Explanation!

[PATELKRUNALMAHESHBHAI]

The best and detailed tutorial. Thank You So much sir.

[bilalhassankhan]

Sir keep going with Stats playlist (in Hindi)

[talkswithRishabh]

💥thanks sir your 7days videos are really helpful

[JaviriyaHameed]

can u please explain logistic regression with its dot product and mathematical implementation on python?

[rajatchauhan]

Accuracy formula reverse nahi hoga kya??

accuracy_score(y_true, y_pred)

[nishiraju]

Hi Krish Naik Sir, Request you to upload some ML Use case on Healthcare.

[baberraheem-js]

Sir, what about activation functions? You have not talked about activation functions in your model implementation.

[Tanveerkhan-scjf]

Data science ka course bhi hindi me ayega kya?

[aaqibafraaz]

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

[VaibhaviRamteke-ri]

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

[anilmurmu]

Sir, How to choose the value for random state? is it always supposed to be 42?

[JavedAhmed-ik]

aapne x me se target variable nikal diya pahele hi. to ye train kaise karega?

[DnyaneshwarPanchaldsp]

can we apply logistic regression for positive, negative, and neutral output of 3 dimensional data example. positive=1, negative=0 and neutral=2

[traveldost]

konsa shortcut use kr rahe ho defulat value dekhne ke liye logistc reg me

[shreyamatade]

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?