Gabriel-Stella

Gabriel-Stella's Stars

• probml/probml-notebooks

  Notebooks for "Probabilistic Machine Learning" book

  Language:Jupyter Notebook20259

• iusztinpaul/energy-forecasting

  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Python856193

• devicons/devicon

  Set of icons representing programming languages, designing & development tools

  Language:CSS9.8k2.3k

• alura/techguide

  TechGuide main repository with the code that guides your tech career!

  Language:TypeScript3.5k706

• google/lightweight_mmm

  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

  Language:Python869178

• DP6/Marketing-Attribution-Models

  Python Class created to address problems regarding Digital Marketing Attribution.

  Language:Python30080

• olivierzach/bayesian-marketing-attribution

  Marketing attribution using Bayesian credible sets and regression methods

  Language:Python154

• DP6/customer-journey-analysis-toolbox

  Repositório com funções, bibliotecas e notebooks para auxiliar o processo de análise de jornadas utilizado em projetos DP6

  Language:Python51

• DP6/marketing-data-sync

  First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing products and Facebook Ads.

  Language:Python476

• cerlymarco/tsmoothie

  A python library for time-series smoothing and outlier detection in a vectorized way.

  Language:Jupyter Notebook73498

• leandrocl2005/deteccao_anomalia_com_variaveis_exogeneas

  Language:Jupyter Notebook53