I miei appunti di ML from scratch
Project description
ML Exam Library 🚀
Una libreria Python creata per memorizzare, consultare e recuperare rapidamente codici e algoritmi di Machine Learning implementati from scratch.
Questa libreria funge da cheat-sheet interattivo: permette di stampare direttamente nel terminale il codice sorgente interamente commentato di diversi modelli, pronto per essere copiato e incollato nei tuoi progetti o script d'esame.
📦 Installazione
Una volta pubblicata, puoi installare la libreria localmente tramite pip:
pip install mlexam_src
#from mlexam_src import GeneratoreCodice
# Inizializza il generatore
cheat_sheet = GeneratoreCodice()
# 1. Stampa il codice della Regressione Lineare
cheat_sheet.copia_appunti("linear")
# 2. Stampa il codice della Regressione Logistica
cheat_sheet.copia_appunti("logistic")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file mlexam_src-0.1.0.tar.gz.
File metadata
- Download URL: mlexam_src-0.1.0.tar.gz
- Upload date:
- Size: 4.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
82eb96cff589d661c1e5f5c5788d7b5ec41b5a253bf76a33be5cd32b42a75773
|
|
| MD5 |
789f8be6c81b9bfa0c7e91838b8706bb
|
|
| BLAKE2b-256 |
c5c99af4a2d1330cbdb7aecbb2209e7553f1df49529a5334cfffbf3af70bec9d
|
File details
Details for the file mlexam_src-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mlexam_src-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ebf7c41de687e69a4ddbdda88b729d505093ba9e1c7adb19e38ce30556e69e6f
|
|
| MD5 |
a2db3d442f0ee19b9845845de9ffbfd6
|
|
| BLAKE2b-256 |
66c07fbcf15fe35d854a109a8463f82e024c67ebf8ba61432f4002df4d825f60
|