Furkan Taşdemir·2d agoData Science Yolculuğu #40: House Prices — Sıfırdan Makine Öğrenmesi ve Lineer Regresyon ile Ev…https://github.com/FurkanTsdmr/DataScience/tree/main/ML/DataScienceHandProject
Konstantin Sofeikov·Oct 22Reviewing Jupyter notebooks in GitHub pull requests, without leaving VS CodeWhy
InOpen IntelligencebyDr. Fadi Shaar·Oct 21Zasper Brings Coding Agents and SQL to a Lighter Notebook IDEHow a single-binary environment combines Jupyter compatibility, database queries, and AI-assisted development.
Matheus Ventura·Oct 21Teste A/B na Prática — Parte 2: Trabalhando com dados categóricosNessa segunda parte da série de projetos completos implementando testes A/B em Python, nossa empresa tem um projeto de mudança de uma…
Matheus Ventura·Oct 21Teste A/B na Prática — Parte 1: Aplicando teste não-paramétrico em PythonO teste A/B é amplamente utilizado para validar hipóteses de negócio, como identificar a página web com maior taxa de conversão, o cupom de…
Nitilo Hq·Oct 20How to open a Jupyter notebook (.ipynb) without installing JupyterA data scientist finishes an analysis and sends spring-sales.ipynb to the person who asked for it. That person is a manager, a client or a…
InSnowflake Builders Blog: Data Engineers, App Developers, AI, & Data SciencebySwati Goel·Oct 15Passing Parameters Between Snowflake Notebooks: A Complete GuideHow to build production notebook pipelines with parameter passing across every workspace type and execution mode.
Elizabeth Shen·Oct 14How to solve widget problem at onceAnd display jupyternotebook with outputs in Github
Elizabeth Shen·Oct 13How to connect A local project folder with GithubElizabeth Shen, co-authored with AI, credits to GeminiGoogleA response icon1A response icon1
William Antônio Siqueira·Oct 12Fine Tuning LLMs Using Kale and Kubeflow PipelinesWorking with small language models (SLM) such as Function Gemma or Qwen 3 0.6B requires the use of post-training for fine tuning these…
