Time Series Analysis and Forecasting with Python – StudyBullet


Introduction

Course Content

Python IDE Installation 1

Python IDE Installation 2

Python IDE Installation 3

Installing Required Libraries

Pandas for Time Series Analysis

Create a Datetime with Pandas

Set Datetime as Index

Resampling Method

Pandas Date Frequencies

Statistical Models for Time Series Forecasting

Introduction to ARIMA

ARIMA Model Development 1

ARIMA Model Development 2

ARIMA Model Development 3

Introduction to SARIMAX

SARIMAX Model Development 1

SARIMAX Model Development 2

SARIMAX Model Development 3

Deep Learning for Time Series Forecasting

Introduction to Deep Learning – Basic Concepts

Introduction to Deep Learning – Activation Function

Introduction to Deep Learning – How Neural Network Learn?

Introduction to Deep Learning – Optimization

Introduction to Deep Learning – Recurrent Neural Network

Introduction to Deep Learning – LSTM Method

Development of Univariate LSTM Model 1

Development of Univariate LSTM Model 2

Development of Univariate LSTM Model 3

Development of Univariate LSTM Model 4

Development of Univariate LSTM Model 5

Development of Univariate LSTM Model 6

Development of Multivariate LSTM Model 1

Development of Multivariate LSTM Model 2

Development of Multivariate LSTM Model 3

Development of Multivariate LSTM Model 4

Development of Multivariate LSTM Model 5



Source link

Check Today's 30+ Free Courses on Telegram!

X
Ads Blocker Image Powered by Code Help Pro

Ads Blocker Detected!!!

We have detected that you are using extensions to block ads. Please support us by disabling these ads blocker.

Powered By
Best Wordpress Adblock Detecting Plugin | CHP Adblock