Web Traffic Forecasting using Time Series Analysis
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Updated
May 22, 2021 - Jupyter Notebook
Web Traffic Forecasting using Time Series Analysis
A Wordpress Plugin that creates a Yellow Pages type web directory (with categories, links, management) that pools and aggregates the web traffic of the users into a larger, more valuable block of traffic. Installation enables members with agency relationship to sell the aggregate for long-term commissions.
In this project, we performed an analysis of user patterns across the website and predicting the traffic of the webpage. This analysis would greatly help the hosts of the website to maintain the servers. We used many algorithms in order to analyze web traffic, which include ARIMA, STLM, BATS, Linear Regression, TBATS, out of which TBATs had perf…
TO DETECT ANOMALIES
This code extends the functionality of the Manna Network Wordpress plugin and PHP Script. It is designed for the pro (i.e. developers, designers, hosting companies, SEO, advertising agencies etc.). It enables your customers to earn BitcoinSV with their websites and gets them more web traffic! It helps you with new customer acquisition and custom…
Time Series Forecasting for Web Traffic using Deep Learning
Track views across your Questions and Answers on StackExchange and StackOverflow sites. Make fun graphs.
This is my first HNG project. It involves Data Exploration and Technical Communication. The aim of this project is to Introduce interns to exploratory data analysis and effective technical reporting.
Add a description, image, and links to the webtraffic topic page so that developers can more easily learn about it.
To associate your repository with the webtraffic topic, visit your repo's landing page and select "manage topics."