| Name | Version | Summary | date |
| goodcrap |
0.2.5 |
goodcrap creates tables, databases and csv files and fill them with random data |
2024-04-09 03:48:52 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |
| feloopy |
0.2.9 |
FelooPy: Efficient and feature-rich integrated decision environment |
2024-04-07 21:21:22 |
| arm-preprocessing |
0.2.2 |
Implementation of several preprocessing techniques for Association Rule Mining (ARM) |
2024-04-02 08:27:12 |
| tsclassification |
1.1.1 |
A shapelet classifier for time series data. |
2024-04-01 21:43:17 |
| atriumdb |
2.2.3 |
Timeseries Database |
2024-03-28 15:16:17 |
| sapiensnb |
1.0.4 |
SapiensNB (Naive Bayes) is a classification algorithm that returns a probabilistic result based on Bayes Theorem. |
2024-03-27 06:54:30 |
| sapiensknn |
1.0.3 |
SapiensKNN (K-Nearest Neighbors) is an algorithm for classification and regression that returns the result based on the Euclidean distance between the input values. |
2024-03-27 06:42:28 |
| renumics-spotlight |
1.6.8 |
Visualize and maintain datasets to develop and understand data-driven algorithms. |
2024-03-20 13:40:13 |
| badgers |
0.0.5 |
Badgers: bad data generators |
2024-03-20 10:41:24 |
| maads |
5.2.3 |
Multi-Agent Accelerator for Data Science (MAADS) |
2023-08-04 19:18:17 |
| maadstmlmedia |
1.2 |
Multi-Agent Accelerator for Data Science (MAADS): Transactional Machine Learning |
2023-06-24 19:31:28 |