Practical Time-Series Analysis, published by Packt

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Machine Learning Practical-Time-Series-Analysis
Overview

Practical Time-Series Analysis

This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

Time-series analysis allows us to analyze certain data over a period of time and understand patterns in the data over time.This book will get you understanding the logic behind time-series analysis and implementing it in various fields, including financial, business, and social media.

Instructions and Navigation

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

import os
import pandas as pd
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns

You will need the Anaconda Python Distribution to run the examples in this book and write your own Python programs for time series analysis. This is freely downloadable from https://www.continuum.io/downloads. The code samples of this book have been written using the Jupyter Notebook development environment. To run the Jupyter Notebooks, you need to install Anaconda Python Distribution, which has the Python language essentials, interpreter, packages used to develop the examples, and the Jupyter Notebook server.

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Comments
  • Chapter1: Monthly_CO2_Concentrations.xlsx dataset corrupted

    Chapter1: Monthly_CO2_Concentrations.xlsx dataset corrupted

    Hi, unable to read the Monthly_CO2_Concentrations.xlsx dataset as the data is corrupted.

    screenshot attached for reference dataset snapshot .

    Kindly upload the clean dataset for practice. Thank You!

    opened by ajitminj 3
  • No WDIData.csv dataset

    No WDIData.csv dataset

    Hi, I'm going through chapter one and it says that I can find the data files in this repo but there is no one called WDIData.csv. Even in Chapter_1_Different_Types_of_Data.ipynb notebook there is a reference to this csv but the files doesn't exists here.

    opened by greglecki 3
  • Zero mean models

    Zero mean models

    Again, along the Zero mean models section the provided code for plotig a figure lacks of a part; an important part!, the code to plot the figure!!... In the githib directory there is the full code but (eventhough the book is from 2017) with an old (and soonly deprecated) function sns.tsplot...

    opened by ajcanepa 0
  • Montly CO2 Data

    Montly CO2 Data

    The file provided is corrupt with no data inside it!... This book and git-hub associated resource are really awful to follow!!... I really miss the R community!

    opened by ajcanepa 0
  • Years in X axis

    Years in X axis

    I have tried to follow the scrips on chapter 1 and when indexing the database, the code from the book uses "data.ix" which seems to be deprecated. Instead, I have used "data.loc" and with a little modification from the indexing columns, I have the work done. However, when I plot all the figures in chapter one I have lost the year numbers inside the x axis, any idea why this results?

    opened by ajcanepa 0
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