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Time Series Analysis, Forecasting, and Machine Learning online course has been taught by Lazy Programmer Inc. on Udemy, this course is an excellent way to be Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting.

Introduction to The Time Series Analysis, Forecasting, and Machine Learning Course

This course is perfect for Anyone who loves or wants to learn about time series analysis.
This course is perfect for Students and professionals who want to advance their career in finance, time series analysis, or data science.

After completing the course, you’ll
ETS and Exponential Smoothing Models
Autoregressive and Moving Average Models (ARIMA)
Holt’s Linear Trend Model and Holt-Winters
Seasonal ARIMA (SARIMA), and SARIMAX
Auto ARIMA
The pmdarima Python library
The statsmodels 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
AWS Forecast (Amazon’s time series forecasting service)
FB Prophet (Facebook’s time series library)
Vector autoregression (VAR) and vector moving average (VMA) models (VARMA)
Modeling and forecasting financial time series
GARCH (volatility modeling)

Course Name: Time Series Analysis, Forecasting, and Machine Learning
Description: Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting
Author: Lazy Programmer Team,Lazy Programmer Inc.
Rating: As of 11/2020… 4.6 ( 432 ratings) and
349 students enrolled
Language: English
Includes: 18 hours of video, and 130 lectures
Course Type: Self Paced Online Course. Lifetime Access

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