Time Series Analysis and Forecasting with Python
The "Time Series Analysis and Forecasting with Python" course is the best resource for understanding time series principles and future forecasting. The most well-known techniques, including statistical techniques (ARIMA and SARIMAX) and deep learning technique (LSTM), are thoroughly discussed in this course. Additionally, a number of Real World applications were constructed in a Python environment and were line by line described!
You've come to the right spot if you're a researcher, student, programmer, or data science enthusiast looking for a course that teaches you all there is to know about time series and prediction. As was already noted, the instructor in this course attempted to show how one may create an LSTM model when confronted with several predictors (variables) for the first time, utilize that model for numerous applications, and use the source code for one's project as well.
Everyone can take this course! Yes, anybody with any sort of experience who wants to learn about time-series and future forecasting using statistics and AI! Even if you are not a coder, the teacher will walk you through every step of writing code and creating your model! You may check out additional courses if you want to learn the fundamentals of machine learning in Python as well!
Requirements:
- General and Basic Python Skills
Who this course is for:
- Data Science Enthusiast
- Beginner Programmers
- Python Developers
- Researchers who like to forecast into future
- Data Analysts
- Anyone who is interested in Time Series and Future Forecasting
Course Rating: 4.3/5
Enroll here: https://www.udemy.com/course/time-series-analysis-and-forecasting-with-python/
