Time Series Analysis, Forecasting, and Machine Learning

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting
4.74 (2672 reviews)
Udemy
platform
English
language
Data Science
category
Lazy Programmer Team
instructor
Time Series Analysis, Forecasting, and Machine Learning
10 467
students
23.5 hours
content
Apr 2025
last update
$74.99
regular price

What you will learn

ETS and Exponential Smoothing Models

Holt's Linear Trend Model and Holt-Winters

Autoregressive and Moving Average Models (ARIMA)

Seasonal ARIMA (SARIMA), and SARIMAX

Auto ARIMA

The statsmodels Python library

The pmdarima Python library

Machine learning for time series forecasting

Deep learning (ANNs, CNNs, RNNs, and LSTMs) for time series forecasting

Tensorflow 2 for predicting stock prices and returns

Vector autoregression (VAR) and vector moving average (VMA) models (VARMA)

AWS Forecast (Amazon's time series forecasting service)

FB Prophet (Facebook's time series library)

Modeling and forecasting financial time series

GARCH (volatility modeling)

Screenshots

Time Series Analysis, Forecasting, and Machine Learning - Screenshot_01Time Series Analysis, Forecasting, and Machine Learning - Screenshot_02Time Series Analysis, Forecasting, and Machine Learning - Screenshot_03Time Series Analysis, Forecasting, and Machine Learning - Screenshot_04
Related Topics
4030112
udemy ID
06/05/2021
course created date
15/06/2021
course indexed date
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