 neingeist
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c0b4d95f75
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Predict
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10 years ago |
|
neingeist
|
31c4ac1967
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Compute the gradient for logistic regression
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10 years ago |
|
neingeist
|
8c100a3f49
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Compute the cost function for logistic regression
|
10 years ago |
|
neingeist
|
b863a3863e
|
.gitignore ml_login_data.mat
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10 years ago |
|
neingeist
|
efe94282b4
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Compute the sigmoid function
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10 years ago |
|
neingeist
|
d52fa95328
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Plot the data
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10 years ago |
|
neingeist
|
580e52ddc5
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Initial commit of ex2
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10 years ago |
|
neingeist
|
ba377e29ba
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Linear regressing using the normal equation
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10 years ago |
|
neingeist
|
ad9ab582de
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Gradient descent for multiple features
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10 years ago |
|
neingeist
|
3dc8897634
|
Compute cost for multiple variables
|
10 years ago |
|
neingeist
|
e38033c00d
|
Clean up whitespace
|
10 years ago |
|
neingeist
|
8559c243c5
|
Normalize features
|
10 years ago |
|
neingeist
|
613220bb3e
|
Clean up whitespace
|
10 years ago |
|
neingeist
|
38064db8b3
|
Print out the cost function J
|
10 years ago |
|
neingeist
|
2bf076c2fc
|
Gradient descent for one variable
|
10 years ago |
|
neingeist
|
514431e135
|
.gitignore login data
|
10 years ago |
|
neingeist
|
14c85aa85c
|
Compute Cost (for one variable)
|
10 years ago |
|
neingeist
|
bc0eb3519f
|
Plot the data
|
10 years ago |
|
neingeist
|
136815f0b7
|
Warmup exercise
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10 years ago |
|
neingeist
|
79825e97f4
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import exercise 1: IV. Linear Regression with Multiple Variables (Week 2)
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10 years ago |