@@ -47,24 +47,23 @@ videoconference to the class every monday from 15:45 to 17:45.
- ~~**read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on lasso and logistic regression: **read up to end of the slides**~~
- ~~prepare your questions for the course/lab session!~~
##### ~~Lab3 instructions~~
- ~~Lab3 statement is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/labs/lab3_statement.md)~~
- ~~upload **at the end of the session** your lab 3 *short report* in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=PHELMA5PMSAST6&id_session=0&gidReq=0&gradebook=0&origin=&id=119340)(pdf file from your editor, or scanned pdf file of a handwritten paper; code, figures or graphics are not required)~~
-->
##### Homework for **Monday, October 4**
-**read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on lasso and logistic regression: **read up to end of the slides**
- prepare your questions for the course/lab session!
##### Lab3 instructions
- Lab3 statement is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/labs/lab3_statement.md)
- upload **at the end of the session** your lab 3 *short report* in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=PHELMA5PMSAST6&id_session=0&gidReq=0&gradebook=0&origin=&id=119340)(pdf file from your editor, or scanned pdf file of a handwritten paper; code, figures or graphics are not required)
##### Homework for **Friday, October 1**
##### ~~Homework for **Friday, October 1**~~
-**read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on linear models: **read up to ridge regression slide 23**
- prepare your questions for the course/lab session!
-~~**read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on linear models: **read up to ridge regression slide 23**~~
-~~prepare your questions for the course/lab session!~~
