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graph-theory

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS

hadoop-fundamentals

Code for the Hadoop Fundamentals for Data Scientists course.

hands-on-artificial-intelligence-on-google-cloud-platform

Hands-On Artificial Intelligence on Google Cloud Platform published by Packt.

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-encryption-dna-encoding

Minor Project, create a image encryption program using Dna encoding and chaos map

imageai

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

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

infectious-disease-ontology

Automatically exported from code.google.com/p/infectious-disease-ontology

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

learningpyspark

Code base for the Learning PySpark book (in preparation)

machine-learning-projects

Solved end-to-end machine learning projects

machine-learning-with-ontologies

network-analysis-made-simple

An introduction to network analysis and applied graph theory using Python and NetworkX

networks-science-course

A course on Network Science, including network formation models, structural patterns, and dynamic processes.

ontologies-w-python

Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste

ontology-tutorial

Ontology Tutorial

pr-python-tutorial

Introduction to Python for Pattern Recognition Tutorial 2019-2020 (Imperial College London)

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

predictive-maintenance-in-pyspark

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

pubh6859

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

pyspark_python-ml-models

PySpark Python ML Models

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

repo-2019

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

santa-monica-light-rail

Exploring the impacts of the Metro Expo Line Extension to Santa Monica.

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.