batuhan-basoglu/Mini-Project-of-Machine-Learning
1
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Fixed the merge.

Browse source
This commit is contained in:
Batuhan Berk Başoğlu 2025-09-22 18:11:56 -04:00
parent ccf7e878f9
commit 32f5ceb5a7
Signed by: batuhan-basoglu
SSH key fingerprint: SHA256:kEsnuHX+qbwhxSAXPUQ4ox535wFHu/hIRaa53FzxRpo
3 changed files with 0 additions and 26 deletions
Download patch file Download diff file Expand all files Collapse all files

24
linear-regression-parkinsons.py
View file

@ -1,29 +1,5 @@
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import matplotlib.pyplot as plt
class LinearRegression:
def __init__(self, add_bias = True)
self.add_bias = add_bias
pass
def fit(self,x,y):
if x.dim == 1:
x = x[:,None]
N = x.shape[0]
if self.add_bias:
x = np.column_stack ([x,np.ones(N)])
self.w = np.linalg.lstsq(x,y)[0]
return self
def predict(self,x)
if self.add_bias:
x = np.column_stack ([x,np.ones(N)])
yh = x@self.w
return yh
class LinearRegression: class LinearRegression:
''' '''

1
logistic-regression-wdbc.py
View file

@ -1,7 +1,6 @@
import numpy as np import numpy as np
import pandas as pd import pandas as pd
class LogisticRegression: class LogisticRegression:
''' '''
Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number, Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number,

1
mini-batch-sgd-logistic-regression-wdbc.py
View file

@ -1,7 +1,6 @@
import numpy as np import numpy as np
import pandas as pd import pandas as pd
class LogisticRegression: class LogisticRegression:
''' '''
Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number, Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number,