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Showing posts with the label Latest Technology

Web Server for Chrome

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A Web Server for Chrome, serves web pages from a local folder over the network, using HTTP. Runs offline. Google Store Link Web Server for Chrome is an open source (MIT) HTTP server for Chrome. It runs anywhere that you have Chrome installed, so you can take it anywhere. It even works on ARM chromebooks. It now has the option to listen on the local network, so other computers can access your files. Additionally, it can try and get an internet address. Many people use this to do basic web development on a chromebook. It is also handy for sharing files over a local network between computers, or even on the internet. Once you install it, navigate to http://127.0.0.1:8887 Please let me know what new features you want!

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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