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Time Series Forecasting in Python

Autor Marco Peixeiro
en Limba Engleză Paperback – 4 oct 2022

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Specificații

ISBN-13: 9781617299889
ISBN-10: 161729988X
Pagini: 456
Dimensiuni: 189 x 231 x 27 mm
Greutate: 0.64 kg
Editura: Manning Publications

Notă biografică

Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canadas largest banks. He is an active contributor to Towards Data Science, an instructor on Udemy, and on YouTube in collaboration with free CodeCamp.

Cuprins

table of contents detailed TOC
PART 1: TIME WAITS FOR NO ONE
READ IN LIVEBOOK1UNDERSTANDING TIME SERIES FORECASTING
READ IN LIVEBOOK2A NA�VE PREDICTION OF THE FUTURE
READ IN LIVEBOOK3GOING ON A RANDOM WALK
PART 2: FORECASTING WITH STATISTICAL MODELS
READ IN LIVEBOOK4MODELING A MOVING AVERAGE PROCESS
READ IN LIVEBOOK5MODELING AN AUTOREGRESSIVE PROCESS
READ IN LIVEBOOK6MODELING COMPLEX TIME SERIES
READ IN LIVEBOOK7FORECASTING NON-STATIONARY TIME SERIES
READ IN LIVEBOOK8ACCOUNTING FOR SEASONALITY
READ IN LIVEBOOK9ADDING EXTERNAL VARIABLES TO OUR MODEL
READ IN LIVEBOOK10FORECASTING MULTIPLE TIME SERIES
READ IN LIVEBOOK11CAPSTONE: FORECASTING THE NUMBER OF ANTIDIABETIC DRUG PRESCRIPTIONS IN AUSTRALIA
PART 3: LARGE-SCALE FORECASTING WITH DEEP LEARNING
READ IN LIVEBOOK12INTRODUCING DEEP LEARNING FOR TIME SERIES FORECASTING
READ IN LIVEBOOK13DATA WINDOWING AND CREATING BASELINES FOR DEEP LEARNING
READ IN LIVEBOOK14BABY STEPS WITH DEEP LEARNING
READ IN LIVEBOOK15REMEMBERING THE PAST WITH LSTM
READ IN LIVEBOOK16FILTERING OUR TIME SERIES WITH CNN
READ IN LIVEBOOK17USING PREDICTIONS TO MAKE MORE PREDICTIONS
READ IN LIVEBOOK18CAPSTONE: FORECASTING THE ELECTRIC POWER CONSUMPTION OF A HOUSEHOLD
PART 4: AUTOMATING FORECASTING AT SCALE
READ IN LIVEBOOK19AUTOMATING TIME SERIES FORECASTING WITH PROPHET
READ IN LIVEBOOK20CAPSTONE: FORECASTING THE MONTHLY AVERAGE RETAIL PRICE OF STEAK IN CANADA
21 GOING ABOVE AND BEYOND
APPENDIX
APPENDIX A: INSTALLATION INSTRUCTIONS