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A collection of Jupyter Notebooks for learning Python for Data Science.
Sensitive Data Management: Data Discovery and Anonymization toolkit
a set of scripts to pull meta data and data profiling metrics from relational database systems
Text preprocessing, representation and visualization from zero to hero.
Programmatically collect normalized news from (almost) any website.
A project to build a machine learning pipeline to detect personal identifiable information (PII)
Computer Vision Basics in Microsoft Excel (using just formulas)
The best design tools and plugins for everything 👉
A very simple framework for state-of-the-art Natural Language Processing (NLP)
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Library for fast text representation and classification.
Learning to See in the Dark. CVPR 2018
Ladies Learning Code: Build a One-Page Website with HTML & CSS (6 hours) | Femmes en programmation : Création d’un site Web à une page avec le HTML et le CSS (6 heures)
A set of resources and material to help reporters and editors better plan, execute, and evaluate editorial projects
An open source python library for automated feature engineering
Image augmentation for machine learning experiments.
Image augmentation library in Python for machine learning.
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
The most complete open-source tool for Twitter intelligence analysis
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
My machine learning code written by python.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A short tutorial on performing fine tuning or transfer learning in PyTorch.
Pytorch model recognizing hotdogs and not-hotdogs deployed on flask. Inspired by Sillicon Valley TV series.