explanation
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 forecasting. This course is not a regular time series training course! This course covers the latest developments including deep learning, time series classification, and more.
But if you’re wondering why time series analysis is so popular these days with rising inflation, many people have become interested in stock markets and currency codes to help them save their capital without losing money. Additionally, the coronavirus has already demonstrated how much forecasting is needed to make public health decisions, and companies are becoming more productive with having to forecast their inventory and operational requirements.
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
- Automatic ARIMA
- Python libraries statsmodels and pmdarima
- Machine learning to predict time series
- Deep learning (ANN, CNN, RNN, and LSTM) for time series forecasting
- Predict inventory prices and return on investment using TensorFlow 2
- Vector autoregressive (VAR) and vector moving average (VMA) models
- AWS Prediction Service
- Facebook Time Series Library (FB Prophet)
- Financial time series modeling and forecasting
- Ferrari Modeling with GARCH
Course specifications
publisher: Udemy
Instructors: Lazy Programmer Team and Lazy Programmer Inc.
Language:English
Education level: Intermediate
Number of courses: 174
Duration: 23 hours 22 minutes
course topic
Time series analysis, forecasting and machine learning prerequisites:
Decent Python coding skills
Numpy, Matplotlib, Pandas, and Scipy (I teach these for free! I gift them to the community)
matrix operations
probability
movie
Introduction to time series analysis, forecasting, and machine learning videos:
installation manual
After extracting, watch with your favorite players.
Subtitles: English
Quality: 720p
Changes:
The 2022/7 version has been increased to 4 lessons and 18 minutes in length compared to the 2021/8 version.
Compared to the 2022/7 version, the 2023/1 version has increased the number of lessons per lesson and class time to 26 minutes.
The 2023/12 version has an increased number of classes of 3 and a 12-minute class time compared to 2023/1.
download link
File password: www.downloadly.ir
size
7.27GB