ML exercise code package - access exercise code via isreal.get()
Project description
Jews Package
A Python package to access ML exercise code from the machine-learning-techniques repository.
Installation
pip install jews
Usage
import isreal
# List available exercises
print(isreal.EXERCISE_CODES.keys())
# Get and print code for an exercise
isreal.get("Ex4_LinearRegression")
Available Exercises
- 10-HMM-Trellis
- 10-HMM-Viterbi
- 10-HMM_using_package
- CNN
- CNN_playground
- Ex4_LinearRegression
- Ex5_NaiveBayes
- Ex6_Logistic_Regression
- Ex8_FNN_Regulatization
- importing image data
- KNN
- LDA
- PCA (1)
- SVM
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jews-0.1.1.tar.gz
(11.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
jews-0.1.1-py3-none-any.whl
(14.8 kB
view details)
File details
Details for the file jews-0.1.1.tar.gz.
File metadata
- Download URL: jews-0.1.1.tar.gz
- Upload date:
- Size: 11.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
21e846ae17c890d9808336079ea83c995f9c91c393ca63cc429041c4abc968b9
|
|
| MD5 |
aeb3cd90ced349cf56d2c94d3cd3d66d
|
|
| BLAKE2b-256 |
069664c7e40289e179ca377ac62788417fdaa93821881f1e7405cebb9fa9ff68
|
File details
Details for the file jews-0.1.1-py3-none-any.whl.
File metadata
- Download URL: jews-0.1.1-py3-none-any.whl
- Upload date:
- Size: 14.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c71d7d20dbea414c537bb23086895ffc1840296588d82dc436973a284158886b
|
|
| MD5 |
84d84b24957ad36a10a361c45a5b6bb3
|
|
| BLAKE2b-256 |
72bc7c86c7f63ff010dae7e810480ac1b32edc593ca98c984cccaf44fc0b589f
|