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100 Days of ML Coding
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Causal Inference in Python
:bathtub: Clean Code concepts adapted for machine learning and data science
Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
Data science project code and presentation materials
Curated list of Python resources for data science.
Notes on Flask REST API and tutorial
the gap statistics for automatically-finding-K value for K-mean clustering
Dynamically get the suggested clusters in the data for unsupervised learning.
Just another repository
Java library and command-line application for converting Scikit-Learn pipelines to PMML
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Learn Amazon SageMaker
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Python Class created to address problems regarding Digital Marketing Attribution.
A PoC for a fractional attribution model
A simple, extensible Markov chain generator.
Area-weighted venn-diagrams for Python/matplotlib
A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Play with the solutions to the multi-armed-bandit problem.
Putting five ML models to production in five minutes
A collection of data and codes to supplement the practicalDataAnalysisCookbook (in preparation)
Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.