Description
Time Series Analysis, Forecasting, and Machine Learning is a Python training course for LSTMs, ARIMA, deep learning, artificial intelligence and Support Vector Regression for forecasting time series. This course is not an ordinary time series training course! In this course, modern development including deep learning, time series classification and more are also covered.
But if you are wondering why time series analysis has become famous today, it should be said that with increasing inflation, many people have become interested in the stock market and cryptocurrencies so that they can save their capital without losing money. Also, currently, the corona virus has proven how much foresight is necessary to make public health decisions, and also businesses are increasing productivity, which requires forecasting of inventory and operational needs.
What you will learn in the Time Series Analysis, Forecasting, and Machine Learning course:
- ETS and Exponential Smoothing Models
- Holt’s Linear Trend and Holt-Winters model
- Autoregressive and Moving Average models
- Seasonal ARIMA (SARIMA), and SARIMAX
- Auto ARIMA
- Python library statsmodels and pmdarima
- Machine learning for time series forecasting
- Deep learning (ANNs, CNNs, RNNs, and LSTMs) for time series forecasting
- Tensorflow 2 for inventory price forecasting 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
- Volatility modeling with GARCH
Course details
Publisher: Udemy
Instructors: Lazy Programmer Team And Lazy Programmer Inc.
English language
Education level: Intermediate
Number of courses: 174
Duration: 23 hours and 22 minutes
Course headings
Prerequisites for the Time Series Analysis, Forecasting, and Machine Learning course:
Decent Python coding skills
Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
Matrix arithmetic
Probability
Pictures
Time Series Analysis, Forecasting, and Machine Learning course introduction video:
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Changes:
The 2022/7 version has increased the number of 4 lessons and the duration of 18 minutes compared to 2021/8.
Version 1/2023 compared to 2022/7 has increased by 1 lesson and duration of 26 minutes.
The version of 2023/12 compared to 2023/1 has increased the number of 3 lessons and the duration of 12 minutes.
download link
File(s) password: www.downloadly.ir
Size
7.27 GB
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