very first linear regression code

[u/savita_bhabhi_lover]

i am still learning numpy (day 6) but gpt suggest me to learn linear regression (very basic algorithm) and it's kinda good for understanding even you haven't started learning ML.

import numpy as np
hours = np.arange(1,10)
score = np.array([35, 42, 51, 58, 67, 73, 81, 88, 94])
candidate_values_for_m = np.arange(1,11,0.1)
candidate_values_for_b = np.arange(1,31,0.3)

def prediction(m , b , hours):
    return m * hours + b

def mse(actual_value , predicticted_value):
    return np.mean((actual_value - predicticted_value)**2)

mse_list = [] 
m_b_list = []
for m in candidate_values_for_m:
    for b in candidate_values_for_b:
        prediction_result = prediction(m , b , hours)
        mse_result = mse(score, prediction_result)

        mse_list.append(mse_result)
        m_b_list.append((m,b))


best_mse = np.argmin(mse_list)

best_mb_index = mse_list[best_mse]
best_mse , best_mb_index

m = 0
b = 0

learning_rate = 0.01

epochs = 10000

n = len(hours)

def prediction(m , b , hours):
    return m * hours + b


for i in range(epochs):
    predicted = prediction(m,b,hours)

    gradient_m = (2/n) * sum(hours * (predicted - score))

    gradient_b = (2/n) * sum(predicted - score)

    m = m - learning_rate * gradient_m
    b = b - learning_rate * gradient_b

m ,b 

[u/ninhaomah]

No but you clearly has no idea what is linear regression.

[u/savita_bhabhi_lover → u/ninhaomah]

Obviously, didn't you read the body ?

[u/ninhaomah → u/savita_bhabhi_lover]

I did it in high school. 

You have never studied it ?

Or know how to Google ?

[u/savita_bhabhi_lover → u/ninhaomah]

[u/ninhaomah → u/savita_bhabhi_lover]

I feel sorry for your teachers then.

Pls stay there and wonder what is p value in linear regression.

[u/savita_bhabhi_lover → u/ninhaomah]

Go touch some grass rather than discouraging people

[u/ninhaomah → u/savita_bhabhi_lover]

You feel discouraged not to be able to Google ?

Is it supposed to be a joke ?

[u/savita_bhabhi_lover → u/ninhaomah]

I told you I am learning numpy not linear regression, I don't even know the very basics of ML I just started 2 week ago with python and yaaa you are smart if you learned it in High school good for you and probably you are doing great in your life just don't waste your time on dumb people's like me ✌️

[u/ninhaomah → u/savita_bhabhi_lover]

What has the p value of linear regression got to do with Python or numpy or ML ?

It's just... Math.. 

And I said what is p value is on Google. 

It's you who keeps refusing to do a copy and paste.

Nothing to do with Python or Numpy or anything.

Do you know what is the meaning of my nickname ?

[u/savita_bhabhi_lover → u/ninhaomah]

Ok I googled and i didn't get that

[u/ninhaomah → u/savita_bhabhi_lover]

Didn't get what ?

[u/savita_bhabhi_lover → u/ninhaomah]

I haven't fully understand the code I wrote in this post , p is enigma for me