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Springboard
- San Jose, CA
- https://www.linkedin.com/in/dmclark53
Stars
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Python tutorials in both Jupyter Notebook and youtube format.
Jupyter metapackage for installation, docs and chat
Preparing for the Data Science Interview Workshop resource.
The interactive graphing library for Python ✨ This project now includes Plotly Express!
Visual analysis and diagnostic tools to facilitate machine learning model selection.
A web app to track campaign finances for the General Election (November 3, 2020) in San Jose & South Bay California
Code etc for Hacker Dojo Deep Learning Study Group
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome computer vision resources
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A complete daily plan for studying to become a machine learning engineer.
💫 Industrial-strength Natural Language Processing (NLP) in Python
An open-source NLP research library, built on PyTorch.
Using SpaCy to deal with text data such tokenization, normalization and labeling including ethics review.
A very simple Salesforce.com REST API client for Python
Answers to 120 commonly asked data science interview questions.
Voilà turns Jupyter notebooks into standalone web applications
Open source annotation tool for machine learning practitioners.
A topic-centric list of HQ open datasets.