Learning and Experiment

Data Quality Management (DQM) is the process of analyzing, defining, monitoring, and improving quality of data continuously. DQM is applied to check data for required values, validate data types, a…

Data Science Using Python

Machine Learning Projects and Learning Content

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Automatically build and upload python packages to devpi

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Python Data Science Handbook: full text in Jupyter Notebooks

The Language-Integrated Quantum Operations (LIQUi|>) Simulator

The Language-Integrated Quantum Operations (LIQUi|>) Simulator

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

A curated list of awesome Machine Learning frameworks, libraries and software.

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

Home for all Coursera Machine Learning Resources and Projects

Data Science Using Python

Data-driven alerting for Tableau Server