Plume ROBERTS

* Day: 02 * Exercise: 01 ```py obj = what_are_the_vars(42, "Yes", a=10, var_2="world") ``` outputs ``` a: 10 var_0: 12 var_1: Yes var_2: world end ``` but `var_0` should be...

* Day: 00 * Exercise: 04 The subjects gives the following: ``` >>> text_analyzer() What is the text to analyze? >> Hello World! The text contains 8 character(s): - 2...

* Day: 09 * Exercise: 03 (closed) The `reg_log_loss_` function should have an epsilon as it's parameter ## Fixed on: - [ ] Github - [ ] Gitlab

* Day: 08 * Exercise: 04 The loss_ function should be taking y and y_hat, but the example uses X, Y **Screenshots**  ## Fixed on: - [ ] Github...

* Day: 07/02 * Exercise: Multipe `predict_(X, [...])` instead of `predict_(x, [...])` ## Fixed on: - [ ] Github - [ ] Gitlab

* Day: 02/07 * Exercise: 02(closed)/03(normal)  thetas are incorrect They should be `theta1 = np.array([0.0,3,0.5,-6]).reshape((-1, 1))` and `theta2 = np.array([0.0,0,0,0]).reshape((-1, 1))` ## Fixed on: - [ ] Github -...

* Day: 01 * Exercise: 01 The example uses default thetas of `1` instead of `1.0` stopping the training for happening, the cast not working  ## Fixed on: -...

* Day: 01 * Exercise: 00 Subject function name and example don't match  function is named `simple_gradient` but is called as `gradient` ## Fixed on: - [ ] Github...

The pipelines builds the files but won't push them. This is a minor fix, juste to make it more convenient.