7.1.4. Building Linear Regression from scratch in Python

. In this video, I explained how to build a Linear Regression model from scratch in python.

Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means:

(No donation is small. Every penny counts)
Thanks in advance!

I am making a "Hands-on Machine Learning Course with Python" in YouTube. I'll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening.

[sankhadas]

its really a great help for me....everything running so systematically and smoothly

[srikanth]

In the function update_weights, while calculating dw there shld be summation over of the all values.
dw = - (2 * np.sum (self.X.T).dot(self.Y - Y_prediction)) / self.m

[balajimanoharan]

very good explanation. Where you learnt the Machine learning

[deepika]

Thanks for recording these lectures, you explain well. Question: I'm unable to locate the part of the model that stores the values of the loss function in each iteration of the for loop and finally selects the global minimum.

[baskaranl]

Do we need to take transverse for more number of columns

[JourneytoDivinity]

when values were initialized b=0, if the value of bias is only one then why we need to update it??

[mohamedshawky]

Hi Siddhardhan, what is difference between Gradient descent and oridnary least squares and when should we use each one?

[Shashank_Shahi]

Instead of using def predict function can we also use return y_predict variable ? Because it's storing the value of linear regression prediction in y_prediction variable. I didn't get this logic.

[being_mukul]

Sir Model crete kia but usme data toh dal ke check hi ni ki uski accuracy !

[erwinbauze]

Hey, i have copied your all code and i have the error :

self.m, self.n = X.shape
AttributeError: 'list' object has no attribute 'shape'

can you help me please

[pawan]

Hi....great video...while running the dataset with 6 features...while fitting the data its throwing an error that operands could not be broadcast together...could u please help with that

[robinabraham]

Great video sid, this video made me understand whats going under the hood.
Doubt : bias will be different for different features?? eg: for a housing price prediction, the crime rate and number of rooms will have totally different intercept value?? Am i wrong??

[simonishabiyi]

Class linear_regression():
Def ___init(self, )


Def fit (self, )

Def update_weights(self, ):

Def predict (self, ):

Is given international error at the def fit

[Krishna-uz]

why are we building this model when we have this model in sklearn right? i mean is it necessary to study this also?
your videos are really helpful tho

[thahoorzain]

sir why are we building this model i mean its already available on sklearn library ?? is it necessary ?

[ishabiyisimon]

class Linear_Regression():

def __init__(self, ):

def fit(self, ):

def update_weights(self, ):

def predict(self, ):


Input In [98]

^
IndentationError: expected an indented block



some should pls hlp me out... tried different methods but am still not getting it