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Practical Time Series Analysis

Video Introducing this tutorial

Different types of data
Internal structures of time series
Models for time series analysis
Autocorrelation and Partial autocorrelation
Summary
Advanced processing and visualization of time series data
Resampling time series data
Stationary processes
Time series decomposition
Summary
Introduction to time-series smoothing
First order exponential smoothing
Second order exponential smoothing
Modeling higher-order exponential smoothing
Summary
Auto-regressive models
Moving average models
Summary
Multi-layer perceptrons
Recurrent neural networks
Convolutional neural networks
Summary
Installation
Basic data types
Keywords and functions
Iterators, iterables, and generators
Classes and objects
Summary

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