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A Practical Approach to Timeseries Forecasting Using Python

You're reading from A Practical Approach to Timeseries Forecasting Using Python Learn Time Series Forecasting Using Machine Learning, Recursive Neural Networks, and Python

Product type Video

Published in Mar 2023

Publisher Packt

ISBN-13 9781837632510

Length 12hrs 25mins

Edition 1st Edition

Languages

Python

Tools

Anaconda

Concepts

Machine Learning

Author (1):

AI Sciences

View More author details

Table of Contents (9) Chapters

1. Introduction FREE CHAPTER

2. Motivation and Overview of Time Series Analysis

3. Basics of Data Manipulation in Time Series

4. Data Processing for Timeseries Forecasting

5. Machine Learning in Time Series Forecasting

6. Recurrent Neural Networks in Time Series Forecasting

7. Project 1: COVID-19 Positive Cases Prediction Using Machine Learning Algorithm

8. Project 2: Microsoft Corporation Stock Prediction Using RNNs

9. Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis

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Authors (1)

AI Sciences

AI Sciences

AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.

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