Logistic Regression Part 1 | Perceptron Trick 

Nitish, I am software Architect with 17 years of experience. I am trying to make a transition into Data Science. I am doing Data Science course from one of the startups. But I must say that content wise your free content is way more superior than what I am doing. As I am very strong in both Maths and Statistics I know the maths behind behind almost all the ML and Neural Network algorithms. Your explanation is absolutely spot on. I wish you all the best!!!

Thank God ,I found your channel ,and thank God I didn't ignore Hindi subject as a child being from south

This is the real Logistic Regression. Thanks a Lot Sir.

Can't explain how good this is... Should be marked as THE lecture to go through before you search the internet....

Literally, you are my inspiration for DSA, I recently solved the 1000th Leatcode problem within four months.

Hello sir, I am pursuing my masters in Data Science here in US. Your tutorials are undoubtedly more instructive and helpful than a master's degree, in my opinion. Please keep sharing your knowledge and also please continue the deep learning tutorials more. I eagerly wait for you to upload a video under deep learning playlist.

you are the best teacher for machine learning and deep learning.

This channel is pure gold.

You sir, are an awesome educator . I'll never fail to do my part to help your channel grow ..it's gold. Also thank you for going through the trouble of visualising the graphs on desmos. It really helped

Nitish, Your are the best teacher. Your way of explanation is very attractive. Thanks for this kind of content.

You really explained in a very easy way....!! I am loving this playlist.

❤❤❤❤ Love for DEEP AND MACHINE LEARNING

abhi tak lagta tha ki krish naik bap hai ab pata chala ki ye sabka bap hai bhai isne sabko fail kar diya had soft for your effort respected sir

Krish Naik ka baap hai ye banda!

Such a genius I found on the internet🤩

Thank You Sir.

Great teacher forever

No I am not sad that you have less fame than others, I am sad because I wish I had found your channel earlier u were never there in my recommended Channel. Please increase your reach ...not for fame..but because many people need to you.

Your mentoring is super

I appreciate your efforts

Thanks you so much.... U are best teacher

Beautiful

@ 22:44 the line is not correct with the equation, the equation is 2x+3y+5=0, which implies that slope and y intercept both are negative but the line drawn has positive y intercept.

absolutely fab

thanks sir, you are a real teacher.

This always lets me know, how much i don't know.....

best as always

I have seen krish Naik sir playlist also fully......but nitish sir k explaination aur deep meaning k baad mere ko fir se detailed notes bnana pad ra .....No offense to anyone Both are Good 🙌🙌😌✨but Nitish Sir is OP

Hi Sir, Firs of all thank you for your efforts. I have one question. You said data must be linearly separable but in high dimension data set how can we check whether data is linearly separable or not.

I also have same tshirt @0:01

Thank you sir....good learning...u made things very easy..🙌

Thank you for the wonderful explanation, sir.

Vai what are you used for writing?

28:00 understood sir, but what is the reason behind this technique of transforming line??!! I mean, How the technique is even working!

too good

Thanks for Great explaination. But a doubt, what if we dont have Y as 0 n 1. What if Y in training data is continous real values?? In that case we cannot use this technique right, only probabilistic way can help in that case.

Love from Pakistan sir 🙂🙂

I have a confusion. In ax + by +c = 0, y is what we calculate using mx + c = 0 Or it is itself a input feature?

how can we know the equation of the line

25:25 Wo addition perform krte wakt Do we have to consider coefficients of new line or the older one? It kinda came to me ki may be hum new cordinates use kre of the line

nice content .. thanks a lot sir!!!

time stamp 1 -> 23:00

🙏Thank you, sir.

Has anyone made notes for this 100 days of ML? if yes plzz let me know, it would be of great help

Sir u said apka channel hai. Do u have any other channel! If yes please give it's link

hello sir can you please help me to get this notes available

Hi sir, you have taken 5,2 as an example, but I have taken 2,2 in the first example of bringing negative points in the negative region of the line, the equation of the line changes from 2x + 3y + 5 = 0 to y+4=0, but still the point lies in the positive region. Kindly help me out on this. Thanks in advance.

sir, aap isme bata rahe he ki koi point he isko puchhna he ki tu sahi rigion me he ki nahi thik he to ye point kese show karega ki bhai me galat rigion me hoon jese ki aap ne bataya is video me usme to hame green or blue alag dikhte he isiliye maan lete he ki ye point blue wala green me he yaa green wala blue me he lekin point ke data se kese pata kar sakte hain ki wo sahi rigion me he ya nahi jese ki aapne desmos me bataya usi tarah agar line k equation me agar wo point ke co-orinates lagayenge to wo always sahi region me hi ata he mene bahot baar try kia to hame pata kese chalega ki ye point galat classify hua he to hame line ko move karna he please give me solution as soon as possible thanks Jay Dhola

Sir you are god

sir, I can see there is another Algorithm playlist on your channel, which playlist should i follow for algo?

if the logistic regression is used for classification problems then why the name is regression

Sir, please teach in english since we are tamilnadu people...

You explanation skill and as well as your beard make me envy you 😂😂🙏 , great videos and playlist , god speed

W coefficient wali value konse hai..

29:23

31:00

line wala concept galat bta rahe ho , mene check kiya graph pr dusri equation se