SQL-for-Data-Analytics
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SQL-for-Data-Analytics | facet | |
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1 | 5 | |
252 | 471 | |
0.0% | - | |
0.0 | 5.6 | |
about 1 year ago | 10 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SQL-for-Data-Analytics
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Resources for D205 before it changes to Performance Assessment
WGU Library: use it to read SQL for Data Analytics. You're better off skimming the book since the lessons on uCertify just copy the book (but missing some parts). Clone the repo and do all the activities.
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/r/technology top posts: Mar 1, 2021
FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.\ (0 comments)
- FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.
- Human-Explainable AI
- Facet: ML model inspection and model-based simulation for better explanations
What are some alternatives?
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wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).