zelda_1

6 ms·

1. 1.▲
   Gradient Boosting Regression from Scratch(anotherbookondatascience.com)

   1 points by zelda_1 7y ago|0 comments
2. 2.▲
   R data.table for pandas users, and vice versa(anotherbookondatascience.com)

   4 points by zelda_1 7y ago|0 comments
3. 3.▲
   by zelda_1 7y ago

   When I'm writing the book (www.anotherbookondatascience.com) I always try to avoid the usage of tidyverse and got some criticism. But now I feel supported.
4. 4.▲
   by zelda_1 7y ago

   Yes, it is very brief. I tried to give some useful reference books/papers/links for each subject appeared in the book. Hope that is useful if the readers are willing to dive deeper. But the concept of linear programming itself is
5. 5.▲
   by zelda_1 7y ago

   `no beginner needs to learn how to write classes in R`. a) using classes properly is great for all level R users; b) a major reason that classes are not widely used (for beginners) is that S3/S4 are not easy to follow. R6 provides a na
6. 6.▲
   by zelda_1 7y ago

   I have a similar feeling. And that is why I spent one whole chapter in data.table (and pandas). Hope more R users would like to learn and use data.table.
7. 7.▲
   Another Book on Data Science – Learn R and Python in Parallel(anotherbookondatascience.com)

   214 points by zelda_1 7y ago|93 comments
8. 8.▲
   by zelda_1 7y ago

   thanks! I'm planning to add a few more chapters.
9. 9.▲
   by zelda_1 7y ago

   Good point. Just added the code. Thanks!
10. 10.▲
    A book to learn R and Python in parallel for Data Science(github.com)

    286 points by zelda_1 7y ago|88 comments