This is the equator of the Bootcamp, a good moment to check whether our students are well on track to continue their learning path towards more advanced topics or we need to put in place complementary strategies to set them for success.
The students will choose their challenge, from both algorithms we learned in the past 4 units:
- Use linear regression to predict the selling prices of houses based on a variety of features on which the value of the house is evaluated.
- Use logistic regression to understand the demographics and other characteristics of a bank customers' that accept a credit card offer and that do not accept a credit card.
- The students will be required to upload the project on GitHub.
- The repo should be properly organized with specific use of folders and it should follow the naming conventions for folders.
- Make sure that the students update the
Readme.mdfile in the repo describing the project, its purpose, and also briefly describing the methodology used to solve the problems.