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326a924044
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Add exercise 3
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2014-10-21 20:59:55 +02:00 |
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f9243ef593
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Simplify regularization term
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2014-10-16 01:03:58 +02:00 |
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9e9b9990bb
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Compute the gradient for regularized logistic regression
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2014-10-15 19:54:07 +02:00 |
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f391ac661e
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Add cost function for regularized logistic regression
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2014-10-15 10:10:30 +02:00 |
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224a17e4d3
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Plot negative samples in red
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2014-10-14 10:19:09 +02:00 |
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c0b4d95f75
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Predict
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2014-10-14 10:14:29 +02:00 |
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31c4ac1967
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Compute the gradient for logistic regression
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2014-10-14 07:46:10 +02:00 |
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8c100a3f49
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Compute the cost function for logistic regression
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2014-10-14 07:40:42 +02:00 |
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b863a3863e
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.gitignore ml_login_data.mat
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2014-10-13 23:15:15 +02:00 |
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efe94282b4
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Compute the sigmoid function
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2014-10-13 23:14:44 +02:00 |
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d52fa95328
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Plot the data
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2014-10-13 23:03:23 +02:00 |
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580e52ddc5
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Initial commit of ex2
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2014-10-13 22:56:53 +02:00 |
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ba377e29ba
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Linear regressing using the normal equation
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2014-10-02 22:48:53 +02:00 |
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ad9ab582de
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Gradient descent for multiple features
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2014-10-02 22:33:18 +02:00 |
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3dc8897634
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Compute cost for multiple variables
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2014-10-02 22:32:56 +02:00 |
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e38033c00d
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Clean up whitespace
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2014-10-02 22:32:37 +02:00 |
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8559c243c5
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Normalize features
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2014-10-02 22:20:44 +02:00 |
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613220bb3e
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Clean up whitespace
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2014-10-02 22:20:31 +02:00 |
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38064db8b3
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Print out the cost function J
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2014-10-02 22:08:08 +02:00 |
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2bf076c2fc
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Gradient descent for one variable
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2014-10-02 21:32:24 +02:00 |
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514431e135
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.gitignore login data
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2014-10-01 22:06:15 +02:00 |
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14c85aa85c
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Compute Cost (for one variable)
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2014-10-01 22:05:13 +02:00 |
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bc0eb3519f
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Plot the data
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2014-09-30 22:25:32 +02:00 |
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136815f0b7
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Warmup exercise
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2014-09-30 22:25:18 +02:00 |
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79825e97f4
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import exercise 1: IV. Linear Regression with Multiple Variables (Week 2)
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2014-09-30 22:24:33 +02:00 |
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