Here's how ELLISP.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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ELLISP . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Ellisp.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We began analyzing https://freerangestats.info/blog/2017/02/18/svmlite, but it redirected us to https://freerangestats.info/blog/2017/02/18/svmlite. The analysis below is for the second page.

Title[redir]:
Moving largish data from R to H2O - spam detection with Enron emails
Description:
I finally solve my problem of writing large sparse matrices from R into SVMLight format for importing to H2O; and demonstrate application with spam detection trained on the Enron email data comparing a generalized linear model, random forest, gradient boosting machine, and deep neural network.

Matching Content Categories {📚}

  • Technology & Computing
  • Careers
  • Telecommunications

Content Management System {📝}

What CMS is ellisp.github.io built with?

Custom-built

No common CMS systems were detected on Ellisp.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of ellisp.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 119 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Ellisp.github.io Make Money? {💸}

We can't figure out the monetization strategy.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Ellisp.github.io might have a hidden revenue stream, but it's not something we can detect.

Keywords {🔍}

spam, data, matrix, neg, ham, sparse, words, format, enron, word, model, enronsplit, text, pos, svmlight, machine, columns, number, true, emails, writing, package, frame, file, validation, files, variables, dense, glm, email, random, learning, dataset, times, rows, column, vector, analysis, models, xnames, detection, linear, forest, gradient, boosting, row, triplet, time, seconds, testing,

Topics {✒️}

file=tl_files/project_datasets/enron-spam%20datasets/preprocessed/enron gradient boosting machine efficiently-transform-sparse-triplet deep neural network php/enron-spam-datasets neural network machine learning purposes blog posts featuring aidan mc nulty simplet triplet matrix elastic net regularization statistical learning methods top rated answer /questions/41477700/optimising-sapply sensational corporate scandals original authors classified efficient computing wise presidential inauguration speeches enron email collection generalized linear model simple triplet matrix peter ellis single validation frame largest published sets simple triple matrix document term matrix document-term-matrix free range statistics means multiple copies medium sized data blessed data scientists sparse matrix object york times articles svmlight format combines enron email dataset functionality recently added minimal baseline sort stops growing trees proudly supporting development writing dense matrices pre-processed data convenient pre-processing nested paste statements traditional data frame stack overflow interaction writing svmlight format york times matrix efficiently write files choosing tuning parameters spam detection trained

Questions {❓}

External Links {🔗}(34)

Analytics and Tracking {📊}

  • Facebook Pixel
  • Google Analytics
  • Google Universal Analytics

Libraries {📚}

  • Bootstrap
  • jQuery

CDN Services {📦}

  • Cloudflare

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