xLaszlo / datascience-failsLinks
Collection of articles listing reasons why data science projects fail.
β465Updated 4 years ago
Alternatives and similar repositories for datascience-fails
Users that are interested in datascience-fails are comparing it to the libraries listed below
Sorting:
- Clean Code concepts adapted for machine learning and data science. Now a free video series π https://bit.ly/2yGDyqTβ727Updated 3 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β209Updated 3 years ago
- Data Analysis Baseline Libraryβ728Updated 7 months ago
- Natural Intelligence is still a pretty good idea.β818Updated last year
- Doubt your data, find bad labels.β515Updated last year
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and producβ¦β129Updated 4 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β615Updated 2 years ago
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process β¦β515Updated 4 years ago
- An ongoing list of pandas quirksβ974Updated 2 years ago
- dataβ°describe: Pythonic EDA Accelerator for Data Scienceβ300Updated 2 years ago
- 100 exercises to learn Python Datatableβ269Updated 3 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β182Updated last year
- β87Updated 6 years ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β148Updated last year
- This course covers how you can use NLP to do stuff.β268Updated 4 years ago
- The world's cleanest AutoML library β¨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning producβ¦β613Updated 2 months ago
- Production Data Science: a workflow for collaborative data science aimed at productionβ455Updated 5 years ago
- A graph-based functional API for building complex scikit-learn pipelines.β589Updated 2 years ago
- Machine learning flashcardsβ221Updated 3 years ago
- β155Updated 4 years ago
- Template repository for data science lifecycle projectβ195Updated 5 years ago
- Data Analysis Baseline Libraryβ133Updated 9 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ868Updated 2 years ago
- Directions overlay for working with pandas in an analysis environmentβ480Updated 8 months ago
- Extra blocks for scikit-learn pipelines.β1,350Updated last month
- A command line tool to easily add an ethics checklist to your data science projects.β299Updated last year
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β264Updated 2 years ago
- Software Architecture for ML engineersβ411Updated 3 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β136Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are lookβ¦β439Updated 11 months ago