How Long to Read Hands-on Time Series Analysis with Python

How Long Does it Take to Read Hands-on Time Series Analysis with Python?

It takes the average reader 6 hours and 58 minutes to read Hands-on Time Series Analysis with Python by B V Vishwas

Assuming a reading speed of 250 words per minute. Learn more

Description

Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks. You'll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. Next, you'll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima. The book also explains building classification models using sktime, and covers advanced deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem using Tensorflow. It concludes by explaining the popular framework fbprophet for modeling time series analysis. After reading Hands -On Time Series Analysis with Python, you'll be able to apply these new techniques in industries, such as oil and gas, robotics, manufacturing, government, banking, retail, healthcare, and more. What You'll Learn: · Explains basics to advanced concepts of time series · How to design, develop, train, and validate time-series methodologies · What are smoothing, ARMA, ARIMA, SARIMA,SRIMAX, VAR, VARMA techniques in time series and how to optimally tune parameters to yield best results · Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN, LSTM, GRU, Autoencoder to solve both Univariate and multivariate problems by using two types of data preparation methods for time series. · Univariate and multivariate problem solving using fbprophet. Who This Book Is For Data scientists, data analysts, financial analysts, and stock market researchers

How long is Hands-on Time Series Analysis with Python?

Hands-on Time Series Analysis with Python by B V Vishwas is 407 pages long, and a total of 104,599 words.

This makes it 137% the length of the average book. It also has 128% more words than the average book.

How Long Does it Take to Read Hands-on Time Series Analysis with Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 31 minutes to read Hands-on Time Series Analysis with Python aloud.

What Reading Level is Hands-on Time Series Analysis with Python?

Hands-on Time Series Analysis with Python is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-on Time Series Analysis with Python?

Hands-on Time Series Analysis with Python by B V Vishwas is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Hands-on Time Series Analysis with Python by B V Vishwas on Amazon click the button below.