Time Series Analysis, Forecasting, and Machine Learning is a Python training course for LSTMs, ARIMA, Deep Learning, AI, and Support Vector Regression for predicting time series. This course is not a regular time series training course! This modern development course covers in-depth learning, time series classification, and more.
But if you are wondering why time series analysis is so popular today, with rising inflation, many people have become interested in the stock market and the currency code so that they can save their capital without losing money. Also, the coronavirus has already proven how much foresight is needed to make public health decisions, and businesses are increasing productivity that requires anticipation of inventory and operational needs.
What you will learn in Time Series Analysis, Forecasting, and Machine Learning:
- ETS and Exponential Smoothing Models
- Holt’s Linear Trend and Holt-Winters
- Autoregressive and Moving Average models
- Seasonal ARIMA (SARIMA), and SARIMAX
- Auto ARIMA
- Python library statsmodels and pmdarima
- Machine learning to predict time series
- In-depth learning (ANNs, CNNs, RNNs, and LSTMs) to predict time series
- Tensorflow 2 to forecast inventory prices and return on investment
- Vector autoregression (VAR) and vector moving average (VMA) models
- AWS Forecast service
- Facebook Time Series Library (FB Prophet)
- Modeling and forecasting financial time series
- Ferrari modeling with GARCH
Course specifications
English subtitle
Quality: 720p