What you'll learn

Basic Packages, NumPy, Pandas & Matplotlib

..)

Analyzing Series Data Using Statsmodels Package

The Concept of ARIMA and SARIMAX method and How to Forecast into the Future Using Them

The Concept of Deep Learning from A-Z

Forecast into the Future Using LSTM Model for Single Variant

Forecast into the Future Using LSTM Model for Multi Variant

Requirements

General and Basic Python Skills

Description

" Series Analysis and Forecasting with Python" Course is an ultimate source for learning the concepts of Series and forecast into the future.

In this course, the most famous methods such as statistical methods (ARIMA and SARIMAX) and Deep Learning Method (LSTM) are explained in detail. Furthermore, several Real World projects are developed in a Python environment and have been explained line by line!

If you are a researcher, a student, a programmer, or a data science enthusiast that is seeking a course that shows you all about series and prediction from A-Z, you are in a right place. Just check out what you will learn in this course below:

Basic libraries (NumPy, Pandas, Matplotlib)

How to use Pandas library to create Date index and how to set that as your Dataset index

What are statistical models

How to forecast into future using the ARIMA model

How to capture the seasonality using the SARIMAX model

How to use endogenous variables and predict into future

What is Deep Learning (Very Basic Concepts)

All about Artificial and Recurrent Neural Network!

How the LSTM method Works!

How to develop an LSTM model with a single variate

How to develop an LSTM model using multiple variables (Multivariate)

As I mentioned above, in this course we tried to explain how you can develop an LSTM model when you have several predictors (variables) for the first and you can use that for several applications and use the source code for your project as well!

This course is for Everyone! yes everyone! that wants t to learn -series and forecasting into the future using statistics and artificial intelligence with any kind of background! Even if you are not a programmer, I show you how to code and develop your model line by line!

If you want to master the basics of Machine Learning in Python as well, you can check my other courses!

Who this course is for:

Data Science Enthusiast

Bner Programmers

Python Developers

Recheachers who like to forecast into future

Data Analysts

Anyone who is interested in Series and Future Forecasting




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