| edyoda/data-science-complete-tutorial |
1,575 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
|
Jupyter Notebook |
| For extensive instructor led learning |
| pdpipe/pdpipe |
710 |
|
0 |
6 |
about 3 years ago |
86 |
July 04, 2022 |
14 |
mit |
Jupyter Notebook |
| Easy pipelines for pandas DataFrames. |
| alpacahq/pipeline-live |
187 |
|
2 |
1 |
about 4 years ago |
12 |
April 11, 2022 |
15 |
apache-2.0 |
Python |
| Pipeline Extension for Live Trading |
| WinVector/data_algebra |
112 |
|
1 |
3 |
over 2 years ago |
91 |
September 29, 2023 |
2 |
bsd-3-clause |
Python |
| Codd method-chained SQL generator and Pandas data processing in Python. |
| neptune-ai/examples |
60 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| 📝 Examples of how to use Neptune for different use cases and with various MLOps tools |
| data-science-lab-amsterdam/skippa |
43 |
|
0 |
0 |
almost 3 years ago |
17 |
August 18, 2023 |
0 |
other |
Python |
| SciKIt-learn Pipeline in PAndas |
| Azure-Samples/functions-python-data-cleaning-pipeline |
30 |
|
0 |
0 |
over 3 years ago |
0 |
|
14 |
mit |
Python |
| Using Python for Azure Functions to clean and preprocess data using pandas through a Blob and Event grid messaging pipeline |
| Mg30/genpipes |
20 |
|
0 |
0 |
about 3 years ago |
6 |
January 21, 2022 |
0 |
gpl-3.0 |
Python |
| Library to write readable and reproducible data processing code using python. |
| zunicd/Bank-Churn-Prediction |
18 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Bank customers churn dashboard with predictions from several machine learning models. |
| dlegor/Crash_Course_Pandas |
16 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Notebook of the Crash Course of Pandas 2018 |
