Description
Time Series Analysis, Forecasting, and Machine Learning is a Python training course for LSTM, ARIMA, Deep Learning, AI, and Support Vector Regression for time series prediction. This course is not part of the regular time series training courses! Modern development courses including deep learning, time series classification, etc. are covered in this course.
But if you are wondering why time series analysis is so popular today, with rising inflation, many people have turned their attention to the stock market and currency code so that they can save their capital without losing money. ‘money. Additionally, the coronavirus has already proven how much foresight is needed to make public health decisions, and businesses are increasing productivity which requires anticipating inventory and operational needs.
What you will learn in time series analysis, forecasting and machine learning:
- ETS and exponential smoothing models
- Linear trend of Holt and Holt-Winters
- Autoregressive and Moving Average Models
- Seasonal ARIMA (SARIMA) and SARIMAX
- ARIMA automatic
- Python library statsmodels and pmdarima
- Machine learning to predict time series
- Deep learning (ANN, CNN, RNN and LSTM) to predict time series
- TensorFlow 2 to predict inventory prices and ROI
- Vector autoregression (VAR) and vector moving average (VMA) models
- AWS Forecast Service
- Facebook Time Series Library (FB Prophet)
- Financial Time Series Modeling and Forecasting
- Ferrari modeling with GARCH
Course specifications
Publisher: Udemy
Instructors: Team of lazy programmers and lazy programmer Inc.
French language
Level of education: Medium
number of lessons: 170
Duration: 22 hours and 44 minutes
Course topics on 2022/10:
Prerequisites for Time Series Analysis, Forecasting, and Machine Learning:
Decent Python coding skills
Numpy, Matplotlib, Pandas and Scipy (I teach this for free! My gift to the community)
Matrix arithmetic
Probability
Pictures
Introductory video to time series analysis, forecasting and machine learning:
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Changes:
The 2022/7 version has increased the number of lessons by 4 and the duration by 18 minutes compared to 2021/8.
Download link
File password(s): ngaur.com
Cut
5.15 GB