Time Series Analysis, Forecasting, and Machine Learning

Source: https://www.udemy.com/course/time-series-analysis/

What you’ll 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)

Requirements

• Decent Python coding skills
• Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
• Matrix arithmetic
• Probability

It’s not my rip

Password: cms.ddpanda.org