Skip to Content
Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
book

Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR

by Joos Korstanje
July 2021
Intermediate to advanced
294 pages
5h 42m
English
Apress
Content preview from Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
Index
A
Activation function
Aggregation
ARMA model
ACF and PACF plots
actual vs. fitted values
cross-validation
development processes
grid search
hyperparameters
hyperparameter tuning
KPI
mathematical definition
metrics
past predictions
Python source code
sunspot data
Artificial Intelligence (AI)
Augmented Dickey Fuller (ADF) test
Autocorrelation
differenced data
Earthquake dataset
computing correlation
correlation matrix
dataset
describe method
evaluation
nan value (missing value)
profile report
shifted data
lags
autocorrelation function
correlation coefficient
definition
differenced data
model evaluation and benchmarking
partial model
predictive performance
statsmodels package
time series
positive/negative
Autocorrelation function (ACF)
ARIMA model
ARMA model
Autoregressive (AR) model ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Forecasting Time Series Data with Facebook Prophet

Forecasting Time Series Data with Facebook Prophet

Greg Rafferty

Publisher Resources

ISBN: 9781484271506Purchase LinkPublisher Website