Skip to main content

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   Lineare
cheat_sheet.copia_appunti("linear")

# 2. Stampa il codice della Regressione Logistica
cheat_sheet.copia_appunti("logistic")

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

mlexam_src-0.1.1.tar.gz (16.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mlexam_src-0.1.1-py3-none-any.whl (16.5 kB view details)

Uploaded Python 3

File details

Details for the file mlexam_src-0.1.1.tar.gz.

File metadata

  • Download URL: mlexam_src-0.1.1.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.14

File hashes

Hashes for mlexam_src-0.1.1.tar.gz
Algorithm Hash digest
SHA256 0eac0b6e160ae653d184c5fa84055fee0774fbe85ecb02a90be30457a3443834
MD5 ecd16f34bd518051fa56273ffb03a623
BLAKE2b-256 f0fe28ed2cc21a9a2aba293b511e33fefb95a97d246830bfc87744d331997f66

See more details on using hashes here.

File details

Details for the file mlexam_src-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: mlexam_src-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 16.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.14

File hashes

Hashes for mlexam_src-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d1af79f371306b33181d3d1c09249a959bca9834142e257031264cd58e917213
MD5 d8690758f86d43cbf36e5300eadb026b
BLAKE2b-256 4d40ab9df72ef0cddc0f51bc61cab90ac2ac8299eacf6da3fda83cbbeb189c95

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page