书名
Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future
作者是 Jason Brownlee
这个书是介绍怎么用python做时间序列,是英文原版不是中文版哦,英语好好学习的同志们一定要下载学习。
它电子版售价是37美金 现在只要一些论坛币就能学习到,希望大家不要浪费资源,一定要落实到实际的学习中去!
Time series forecasting is different from other machine learning problems.
The key difference is the fixed sequence of observations and the constraints and additional structure this provides.
In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and specialized methods for time series forecasting.
Using clear explanations, standard Python libraries and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement forecasting models for time series data.