| pmaji/data-science-toolkit |
185 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
HTML |
| Collection of stats, modeling, and data science tools in Python and R. |
| winkjs/wink-lemmatizer |
57 |
|
8 |
4 |
about 3 years ago |
7 |
June 04, 2023 |
10 |
mit |
JavaScript |
| English lemmatizer |
| Devparihar5/Complete-Data-Science-Roadmap |
29 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Complete Roadmap For Data Science |
| Mooseburger1/Springboard-Data-Science-Immersive |
23 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| adulau/napkin-text-analysis |
8 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
agpl-3.0 |
Python |
| Napkin is a simple tool to produce statistical analysis of a text |
| aditeyabaral/lok-sabha-election-twitter-analysis |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
|
|
Jupyter Notebook |
| Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University. |
