並び順

ブックマーク数

期間指定

  • から
  • まで

1 - 5 件 / 5件

新着順 人気順

bayesian linear regression python codeの検索結果1 - 5 件 / 5件

  • 100+ Best GitHub Repositories For Machine Learning

    There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper

      100+ Best GitHub Repositories For Machine Learning
    • Python open source libraries for scaling time series forecasting solutions

      By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,

        Python open source libraries for scaling time series forecasting solutions
      • Why We Use Julia, 10 Years Later

        Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me

          Why We Use Julia, 10 Years Later
        • Version 1.0

          Version 1.0# For a short description of the main highlights of the release, please refer to Release Highlights for scikit-learn 1.0. Legend for changelogs Major Feature something big that you couldn’t do before. Feature something that you couldn’t do before. Efficiency an existing feature now may not require as much computation or memory. Enhancement a miscellaneous minor improvement. Fix somethin

          • Python/STAN Implementation of Multiplicative Marketing Mix Model, with Deep Dive into Adstock... | Towards Data Science

            Python/STAN Implementation of Multiplicative Marketing Mix Model, with Deep Dive into Adstock… Python/STAN Implementation of Multiplicative Marketing Mix Model With Deep Dive into Adstock, Diminishing Return, ROAS, and mROAS Full code and simulated dataset are posted on my Github repo: https://github.com/sibylhe/mmm_stan The methodology of this project is based on this paper by Google, but is appl

              Python/STAN Implementation of Multiplicative Marketing Mix Model, with Deep Dive into Adstock... | Towards Data Science
            1