Hello!

Announcements and news will be published in this channel.

We will use GitHub (Course materials)
https://github.com/SerhiyProtsenko/LublinDataScienceWorkshop

I invite to chat
https://t.me/joinchat/GL-jwBKM7XXPpHoUetZI-g

Please bring laptops to classes tomorrow

you can download an anaconda

download from https://github.com/SerhiyProtsenko/LublinDataScienceWorkshop folders - data, homework

do your homework - 1 HW linear_regression.ipynb

Note, the file was updated today. if you downloaded it before, download again

Attention. When you run task 2, you must first shuffle the all data. Be careful, you need to shuffle all the data, not just X

Good afternoon.
In the homeworks folder I uploaded a new homework - 2 HW sklearn.liner_model.ipynb

Please look at it and start.

Tomorrow we will start to solve it. It is advisable that you carefully study it at home.

Good night.
In the homeworks folder I uploaded a new homeworks - 3 HW OverfittingTask.ipynb and 4 HW Decision Trees and Random Forests.ipynb
Please look at it and start.
It is advisable that you carefully study it at home.
Please download the folder - figures(This is for your homework)

If you have any questions. Write here, I'll be happy to answer them.

Good night.
In the homeworks folder I uploaded a new homeworks - 5 HW Decision Trees and hyperparam tuning.ipynb

In the homeworks folder I uploaded a new homeworks - 6 HW ModulBank Boosting.ipynb
This last task in our course.
Who will do the complete task - 6 HW ModulBank Boosting.ipynb
Gets score 5 on our exam - automatic.

Two completely identical solutions are not accepted

Completely ready solution - 6 HW ModulBank Boosting.ipynb
you can send to my e-mail: serhiy.protsenko@gmail.com