| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| ashishpatel26/Amazing-Feature-Engineering |
485 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. |
| aikho/awesome-feature-engineering |
316 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
other |
|
| A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning |
| solegalli/feature-engineering-for-machine-learning |
314 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
other |
Jupyter Notebook |
| Code repository for the online course Feature Engineering for Machine Learning |
| ahmedfgad/ArithmeticEncodingPython |
43 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| Data Compression using Arithmetic Encoding in Python |
| grailbio/bio |
42 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
apache-2.0 |
Go |
| Bioinformatic infrastructure libraries |
| bfgray3/cattonum |
32 |
|
0 |
0 |
over 3 years ago |
5 |
June 15, 2020 |
19 |
other |
R |
| Encode Categorical Features |
| mdkearns/automated-data-preprocessing |
14 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables. |
| leonjessen/PepTools |
9 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
gpl-3.0 |
R |
| PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data |
| RistovaIvona/Bank-Marketing |
5 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A Data-Driven Approach to Predict the Success of Bank Telemarketing |
