Time Series Analysis, Forecasting, and Machine Learning is a guide to time series analysis, forecasts, and machine learning . The book is available on Amazon’s time series forecasting service, Facebook’s time-series library, and the statsmodels Python library . It includes deep learning (ANNs, CNNs, RNNs, and LSTMs) for forecasting time series forecasts, stock prices, and Tensorflow 2 for predicting stock prices and returns . What you’ll learn in the book is a look at the book “Time Series Analysis and Forecasting” and “Machine Learning” The book will be available on September 1, 2015, at $99.99.
What you’ll find out in Time Collection Analysis, Projecting, and Machine Learning
- ETS and also Exponential Smoothing Versions
- Holt’s Linear Fad Model and Holt-Winters
- Autoregressive and also Moving Typical Designs (ARIMA)
- Seasonal ARIMA (SARIMA), and also SARIMAX
- Vehicle ARIMA
- The statsmodels Python library
- The pmdarima Python library
- Machine learning for time collection projecting
- Deep understanding (ANNs, CNNs, RNNs, and also LSTMs) for time collection forecasting
- Tensorflow 2 for forecasting supply costs and also returns
- Vector autoregression (VAR) and also vector moving average (VMA) versions (VARMA)
- AWS Projection (Amazon.com’s time collection forecasting service)
- FB Prophet (Facebook’s time series collection)
- Modeling as well as forecasting financial time series
- GARCH (volatility modeling)
Hey there friends!
Welcome to Time Collection Evaluation, Forecasting, and also Artificial Intelligence in Python.
Time Collection Evaluation has actually ended up being an especially vital field in recent years.
Who this course is for:
- Anyone who loves or wants to learn about time series analysis
- Students and professionals who want to advance their career in finance, time series analysis, or data science
|File Name :||Time Series Analysis, Forecasting, and Machine Learning free download|
|Genre / Category:||Development|
|File Size :||2.24 gb|
|Publisher :||Lazy Programmer Team|
|Updated and Published:||07 Jul,2022|