Here we are! This is my last capstone project before the final one.
I see the finish line and I’m excited to get there.
But before tackling the last part of this Data Scientist path, a few things about this date-a-scientist project:
- I liked the lessons on NLP, it is something new for me and I decided to explore it further. I focused my work around Spacy models, so I spent some time to understand how Spacy works: it was a good exercise.
- Nice dataset. Its dimension add some complexity to the analysis, in fact I had to discard some algorithms. I selected a model that is fast to train because it is easier to experiment with it.
- It took me 12 to 16 h to complete the project (from notebook draft to Medium story)
I know that this dataset could be explored deeper than I did.
Anyway, I’m satisfied: my purpose was to test a specific idea to see if it gave good results and I think I was able to gather some useful insights.
Feedbacks are welcome.
CODECADEMY WALKTHROUGH: DATE A SCIENTIST
Link to repo at the end of the story