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Overview
Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting What you'll learn: ETS and Exponential Smoothing ModelsHolt's Linear Trend Model and Holt-WintersAutoregressive and Moving Average Models (ARIMA)Seasonal ARIMA (SARIMA), and SARIMAXAuto ARIMAThe statsmodels Python libraryThe pmdarima Python libraryMachine learning for time series forecastingDeep learning (ANNs, CNNs, RNNs, and LSTMs) for time series forecastingTensorflow 2 for predicting stock prices and returnsVector autoregression (VAR) and vector moving average (VMA) models (VARMA)AWS Forecast (Amazon's time...
Syllabus
- Welcome
- Getting Set Up
- Time Series Basics
- Exponential Smoothing and ETS Methods
- ARIMA
- Vector Autoregression (VAR, VMA, VARMA)
- Machine Learning Methods
- Deep Learning: Artificial Neural Networks (ANN)
- Deep Learning: Convolutional Neural Networks (CNN)
- Deep Learning: Recurrent Neural Networks (RNN)
Instructor
Lazy Programmer Team
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