Logistic Regression in Python from Scratch | Simply Explained

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code behind the Logistic Regression in Python.

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This is Your Lane to Machine Learning ⭐

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[MachineLearningWithJay]

If you found this video valuable, then hit the *_like_* button👍, and don't forget to *_subscribe_* ▶ to my channel as I upload a new Machine Learning Tutorial every week.

[saumyashah]

Very few people explain things mathematically and a very few people want a mathematical explanation. People just want to code without understanding the algorithm. You and your subscribers are the best :)

[pavithranpavithran]

Man for the past 2 days i have been searching the explanation
Man you rocked it .Keep going brother

[justtimepass]

Please don't stop uploading videos it's really really superb explanation in a precise manner. Great job keep it up bro 😎

[MeetPatel-skpu]

I don't have words for give compliment for your explanation bro.
MOST CLEAR EXPLANATION I EVER SEEN BEFORE. 🍺🥂

[Itsavinashdubey]

I was searching a lot and finally bro!!! I got thanks a lot

[AmanTheDisciple]

A very good video, been searching for something like this for so long. Finally found it. Thanks bro.

[ipapergrey]

Thank you so much you really helped me start my ML journey

[larrysummer]

keep it up man... you couldn't be better teaching...

[gratusrichard]

you sir are a legend. I took several tutorials on machine learning, your videos are the only one that make sense to me. I don't know if you have any paid course out there, if you do please let me know, i will definitely purchase it. good luck :)

[babaabba]

very informative, you are the best continue

[taruchitgoyal]

Hi
At 1:11 you are uploading csv files for train and test.
I am using Google Colab.
Thus, the code to upload the files I got was
=files.upload()
Thus, how do I fit the same using Pandas as demonstrated by you?

[nhs]

thanks for this useful video .. I just have one question : I have a dataset for students performance in a course and I am required to split my dataset into 70% for training and 30% for testing without using sklearn .. How to do so?

[IbrahimAli-kxkp]

Thanks for the video Jay 💙
Just a simple question, at 5:31: You used the method (reshape) to modify Y but the (transpose) to modify X!
Why don't we use transpose for both? I tried it and I think it works, otherwise you have other reason!

Thanks again for your amazing content 😄

[soujanyapm]

Thanks for this video, it was very informative.
Could you please explain the formula you have used for accuracy in accuracy function?

[brindhasenthilkumar]

hi, I had been learning machine learning by my own and had seen many videos, your explanation was remarkable, keep going, there is a clarity after we listen to your videos, great great, all the best for making more videos on all algos of ML

[priyankagarg]

Thanks for sharing these videos😀. Your all videos are informative and make it so simple for me to understand the concept🤓.

[sauravsharma]

Hey, thanks a lot for the video!
So I'm facing a major problem. When I run the model, I am getting cost as NaN for every iteration after the 0th iteration.
Why is this happening? How do I fix this?

For context, I am using a different dataset (adult census income dataset from Kaggle) but all the preprocessing has been done and all the columns have numerical values.

[acno_randintrandint]

would A > 0.5 get us a sum of correct predictions or just one class? can you please explain a bit clearly maybe i missed

[kazimehrabrashid]

well, in your cost function video you told that
dCost/dW = (A-Y).X
but in code you wrote that
dCost/dW = (1/m)(A-Y).X

should I multiply (1/m) or not?please tell me bro