 neingeist
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cf0d25440c
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Train num_labels one-vs-all logistic regression classifiers
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10 years ago |
|
neingeist
|
9117809537
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Vectorized regularized logistic regression, again
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10 years ago |
|
neingeist
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326a924044
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Add exercise 3
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10 years ago |
|
neingeist
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f9243ef593
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Simplify regularization term
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10 years ago |
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neingeist
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9e9b9990bb
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Compute the gradient for regularized logistic regression
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10 years ago |
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neingeist
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f391ac661e
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Add cost function for regularized logistic regression
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10 years ago |
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neingeist
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224a17e4d3
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Plot negative samples in red
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10 years ago |
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neingeist
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c0b4d95f75
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Predict
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10 years ago |
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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
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10 years ago |
|
neingeist
|
b863a3863e
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.gitignore ml_login_data.mat
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10 years ago |
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neingeist
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efe94282b4
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Compute the sigmoid function
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10 years ago |
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neingeist
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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
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3dc8897634
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Compute cost for multiple variables
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10 years ago |
|
neingeist
|
e38033c00d
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Clean up whitespace
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10 years ago |
|
neingeist
|
8559c243c5
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Normalize features
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10 years ago |
|
neingeist
|
613220bb3e
|
Clean up whitespace
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10 years ago |
|
neingeist
|
38064db8b3
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Print out the cost function J
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10 years ago |
|
neingeist
|
2bf076c2fc
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Gradient descent for one variable
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10 years ago |
|
neingeist
|
514431e135
|
.gitignore login data
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10 years ago |
|
neingeist
|
14c85aa85c
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Compute Cost (for one variable)
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10 years ago |
|
neingeist
|
bc0eb3519f
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Plot the data
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10 years ago |
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neingeist
|
136815f0b7
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Warmup exercise
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10 years ago |
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neingeist
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79825e97f4
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import exercise 1: IV. Linear Regression with Multiple Variables (Week 2)
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10 years ago |