xLaszlo / datascience-fails
Collection of articles listing reasons why data science projects fail.
☆463Updated 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
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆207Updated 3 years ago
- Doubt your data, find bad labels.☆509Updated 8 months ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆129Updated 4 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆292Updated 8 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 11 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆179Updated 8 months ago
- Natural Intelligence is still a pretty good idea.☆806Updated 8 months ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆583Updated 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 …☆504Updated 3 years ago
- An ongoing list of pandas quirks☆954Updated last year
- Production Data Science: a workflow for collaborative data science aimed at production☆453Updated 4 years ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆723Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆261Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆858Updated last year
- Data Analysis Baseline Library☆726Updated 3 months ago
- This course covers how you can use NLP to do stuff.☆267Updated 4 years ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆204Updated 3 years ago
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- ☆154Updated 4 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆198Updated 9 months ago
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…☆242Updated 10 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆467Updated 2 years ago
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- Predictive Power Score (PPS) in Python☆1,132Updated 2 months ago
- Data Analysis Baseline Library☆131Updated 4 months ago
- Start a data science project with modern tools☆192Updated last year
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆499Updated last month
- ☆144Updated 3 years ago
- ☆86Updated 5 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆83Updated last year