Skip to content
#

data-scientists

Here are 55 public repositories matching this topic...

jeblad
jeblad commented Feb 16, 2021

🚨🚨 Feature Request

  • Related to an existing Issue
  • A new implementation (Improvement, Extension)

Move the docker setup to a separate repository. Moving this outside core makes cleaner code.

Keeping docker-setup inside the core code, then adding a number of other similar systems like Vagrant, will over time create a mess. Better move them out. It also mak

oegedijk
oegedijk commented Nov 17, 2020

The default dashboard can be very overwhelming with lots of tabs, toggles and dropdowns. It would be nice to offer a simplified version. This can be built as a custom ExplainerComponent and included in custom, so that you could e.g.:

from explainerdashboard import RegressionExplainer, ExplainerDashboard
from explainerdashboard.custom import SimplifiedRegressionDashboard

explainer = Reg

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  • Updated Nov 29, 2020
  • Jupyter Notebook
Data-Science-Resources
Malastare.ai

Malastare.ai is a startup Analytics Consulting Firm. Based in Texas, USA. We combine deep industry knowledge with specialized expertise in analytics, strategy, operations, and risk management. We leverage our clients' real-world experience, industry best practices and technology best practices to enable them to succeed in their big data projects.

  • Updated Jun 9, 2020
  • HTML

MLOps (a compound of “machine learning” and “operations”) is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML (or deep learning) lifecycle. This repository is intended for my customer and partner workshop guidance.

  • Updated Apr 13, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the data-scientists topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the data-scientists topic, visit your repo's landing page and select "manage topics."

Learn more