Challenge

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Секція 5. Розділ 6

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Все було зрозуміло?

Секція 5. Розділ 6

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Все було зрозуміло?

Завдання

Now you can solve a fairly simple task - read a synthetic dataset with profiles on a social network and create new features.

Create a new feature Age Binning (like before) that bins the users' ages into age groups (e.g. 20-30, 30-40, 40-50, etc.). Like, 35 (int) -> 30-40 (str)
Create a second feature Average Hours that counts the average number of hours per week spent on social media by individual users

Секція 5. Розділ 6