Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
A Practical Approach to Timeseries Forecasting Using Python
A Practical Approach to Timeseries Forecasting Using Python

A Practical Approach to Timeseries Forecasting Using Python: Learn Time Series Forecasting Using Machine Learning, Recursive Neural Networks, and Python

Arrow left icon
Profile Icon AI Sciences
Arrow right icon
Free Trial
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5 (2 Ratings)
Video Mar 2023 12hrs 25mins 1st Edition
Video
₱5613.99
Subscription
Free Trial
Arrow left icon
Profile Icon AI Sciences
Arrow right icon
Free Trial
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5 (2 Ratings)
Video Mar 2023 12hrs 25mins 1st Edition
Video
₱5613.99
Subscription
Free Trial
Video
₱5613.99
Subscription
Free Trial

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Complete package for beginners to learn time series, data analysis, and forecasting methods from scratch
  • Thoroughly covers the most advanced and recently discovered RNN models
  • Analysis on real-world datasets of birth rates, stock exchange and COVID-19 cases

Description

Have you ever wondered how weather predictions, population estimates, and even the lifespan of the universe are made? Discover the power of time series forecasting with state-of-the-art ML and DL models. The course begins with the fundamentals of time series analysis, including its characteristics, applications in real-world scenarios, and practical examples. Then progress to exploring data analysis and visualization techniques for time series data, ranging from basic to advanced levels, using powerful libraries such as NumPy, Pandas, and Matplotlib. Python will be utilized to assess various aspects of your time series data, such as seasonality, trend, noise, autocorrelation, mean over time, correlation, and stationarity. Additionally, you will learn how to pre-process time series data for utilization in applied machine learning and recurrent neural network models, which will enable you to train, test, and assess your forecasted results. Finally, you will acquire an understanding of the applied ML models, including their performance evaluations and comparisons. In the RNNs module, you will be building GRU, LSTM, Stacked LSTM, BiLSTM, and Stacked BiLSTM models. By the end of this course, you will be able to understand time series forecasting and its parameters, evaluate the ML models, and evaluate the model and implement RNN models for time series forecasting. All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/A-Practical-Approach-to-Timeseries-Forecasting-using-Python

Who is this book for?

No prior knowledge of DL, data analysis, or math is required. You will start from the basics and gradually build your knowledge of the subject. Only the basics of Python are required. This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs. The course is suitable for individuals who want to advance their skills in ML and DL, master the relation of data science with time series analysis, implement time series parameters and evaluate their impact on it and implement ML algorithms for time series forecasting.

What you will learn

  • Learn data analysis techniques and handle time series forecasting
  • Implement data visualization techniques using Matplotlib
  • Evaluate applied machine learning in time series forecasting
  • Look at auto regression, ARIMA, Auto ARIMA, SARIMA, and SARIMAX
  • Learn to model LSTM, Stacked LSTM, BiLSTM, and Stacked BiLSTM models
  • Implement ML and RNN models with three state-of-the-art projects

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 13, 2023
Length: 12hrs 25mins
Edition : 1st
Language : English
ISBN-13 : 9781837632510
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Mar 13, 2023
Length: 12hrs 25mins
Edition : 1st
Language : English
ISBN-13 : 9781837632510
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just ₱260 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just ₱260 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 10,870.97
Modern Time Series Forecasting with Python
₱2704.99
Exploratory Data Analysis with Python Cookbook
₱2551.99
A Practical Approach to Timeseries Forecasting Using Python
₱5613.99
Total 10,870.97 Stars icon
Banner background image

Table of Contents

9 Chapters
Introduction Chevron down icon Chevron up icon
Motivation and Overview of Time Series Analysis Chevron down icon Chevron up icon
Basics of Data Manipulation in Time Series Chevron down icon Chevron up icon
Data Processing for Timeseries Forecasting Chevron down icon Chevron up icon
Machine Learning in Time Series Forecasting Chevron down icon Chevron up icon
Recurrent Neural Networks in Time Series Forecasting Chevron down icon Chevron up icon
Project 1: COVID-19 Positive Cases Prediction Using Machine Learning Algorithm Chevron down icon Chevron up icon
Project 2: Microsoft Corporation Stock Prediction Using RNNs Chevron down icon Chevron up icon
Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.5
(2 Ratings)
5 star 0%
4 star 0%
3 star 50%
2 star 50%
1 star 0%
Gerardo Feb 18, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Good initial review. But, lacks proper explanation of some parts like how to read the trend, seasonality and noise plots. Or, why do we need stationarity in our data. Also, not all datasets that uses are available in the download package, for example, the dataset for the data processing for timeseries quiz
Subscriber review Packt
Amanda Apr 11, 2024
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
It is really difficult to understand what he is saying and he doesn't really explain any of the concepts in the first few videos. He just shows some examples of what constitutes as different series
Subscriber review Packt
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.