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An End-to-End Project on Time Series Analysis and Forecasting with Python

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Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series. Let’s get started! The Data We are using Superstore sales data that can be downloaded from here. import warnings import itertools import numpy as np import matplotlib.pyplot as plt warnings.filterwarnings("ignore") plt.style.use('fivethirtyeight') import pandas as pd import statsmodels.api as sm import matplotlib matplotlib.rcParams['axes.labelsize'] = 14 matplotlib.rcParams['xtick.labelsize'] = 12 matplotlib.rcParams['ytick.labelsize'] = 12 matplotlib.rcParams['text.color
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How to download a file using command prompt (cmd) Windows?

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If you’re like most Internet users, you download various types of files now and then. You either download these files with your web browser or some download manager software. Have you ever considered downloading files using the command prompt i.e. CMD? If not, we recommend you to try it. It’s quite interesting apart from being very useful as well. In this article, we’ll show you how to download a file using command prompt aka CMD. How to download a file using command prompt?   There are several useful commands for the Command Prompt and one of them is  bitsadmin . Though bitsadmin has several uses, here we shall limit this article to its role in downloading files only. If you want to read the details about bitsadmin syntax, continue reading this section. Otherwise, you can scroll down to the next section –  Downloading a file .   The syntax of bitsadmin is : BITSADMIN [/RAWRETURN] [/WRAP | /NOWRAP] command   As you know, the parts of the syntax inside the square bra
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Angular 9 - User Registration and Login Example & Tutorial

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In this tutorial we'll go through an example of how to build a simple user registration, login and user management (CRUD) application with Angular 9. The project is available on GitHub at  https://github.com/cornflourblue/angular-9-registration-login-example . The Angular CLI was used to generate the base project structure with the  ng new <project name>  command, the CLI is also used to build and serve the application. For more info about the Angular CLI see  https://angular.io/cli . Styling of the example app is all done with Bootstrap 4.4 CSS, for more info about Bootstrap see  https://getbootstrap.com/docs/4.4/getting-started/introduction/ . Here it is in action:   (See on StackBlitz at  https://stackblitz.com/edit/angular-9-registration-login-example ) Running the Angular 9 Login Tutorial Example Locally Install NodeJS and NPM from  https://nodejs.org . Download or clone the Angular project source code from  https://github.com/cornflourblue/angular-9-registra
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How to Include ThreeJs in Your Projects

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HOW TO INCLUDE three.js IN YOUR PROJECTS There are quite a few different ways to include three.js in your JavaScript application, some of them simple, some of them a little more complex, however, they all boil down to one simple idea: you need to include one (and  only one) of these three files in your project: three.js three.min.js three.module.js You can view them all  on the three.js GitHub repo , which we’ll explore in the next chapter. Each of these files a version of the three.js core, meaning that once you’ve included one of them in your application, you are all ready to get started in creating beautiful 3D scenes. There are two main ways to include these files in your project: include them in a  script tag  in your HTML import them directly into your JavaScript files. We’ll explore how to do in Section Two What’s the Difference Between these Files? The  three.js  file is intended to be included in a  <script>  tag in your  index.html  file, like s
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