Corso di Formazione "Advanced Python"

Europe/Rome
Aula di Informatica Piano 3 (Dipartimento di FIsica e Geologia)

Aula di Informatica Piano 3

Dipartimento di FIsica e Geologia

Via Pascoli, snc
Description

Dettagli per la connessione remota: 

Join Zoom Meeting
https://cern.zoom.us/j/66400141413?pwd=am9naXlQT2NkRTRUUmd5eWs2dmNHUT09

Meeting ID: 664 0014 1413
Passcode: 137887

    • 2:00 PM 3:45 PM
      Session 1
      • 2:00 PM
        Introduction and presentations 15m
      • 2:15 PM
        Python programming language and structure of the course 1h
      • 3:15 PM
        First exercises pandas: Facebook advertising data 30m
    • 3:45 PM 4:15 PM
      Coffee 30m
    • 4:15 PM 6:00 PM
      Session 1
      • 4:15 PM
        First exercises pandas: Facebook advertising data ( continue ) 45m
      • 5:00 PM
        IoT: predicting RUL for an electric motor from sensors data 1h
    • 9:00 AM 11:00 AM
      .: Session 2
      • 9:00 AM
        Linear regressior 1h 30m
      • 10:30 AM
        Intermezzo: If you need ROOT 30m
    • 11:00 AM 11:30 AM
      Coffee 30m
    • 11:30 AM 1:00 PM
      .: Session 2
      • 11:30 AM
        Logistic Regressor 1h 30m
    • 1:00 PM 2:15 PM
      Launch 1h 15m
    • 2:15 PM 4:00 PM
      Session 4
      • 2:15 PM
        Introduction to ML 1h 30m
    • 4:00 PM 4:30 PM
      Coffee 30m
    • 4:30 PM 6:00 PM
      Session 4
      • 4:30 PM
        Introduction to ML ( continue ) 30m
      • 5:00 PM
        pytest and TDD 1h
    • 9:00 AM 11:00 AM
      Session 5
      • 9:00 AM
        Tensorflow: predictions on images 2h
    • 11:00 AM 11:30 AM
      Coffee 30m
    • 11:30 AM 1:00 PM
      Session 5
      • 11:30 AM
        Tensorflow: predictions on images 1h
      • 12:30 PM
        Concluding remarks and thank you 30m