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paul richardson's Projects

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A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.

alphalens icon alphalens

Performance analysis of predictive (alpha) stock factors

altair icon altair

Declarative statistical visualization library for Python

animl icon animl

A python machine learning library for structured data.

au.id.cxd.math icon au.id.cxd.math

A collection of experiments focusing on processing tabular data.

auto-clean icon auto-clean

Provide helpers in python (pandas and numpy) to perform automated cleaning and pre-processing steps.

auto_ml icon auto_ml

Automated machine learning for analytics & production

autotrader icon autotrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

av_example icon av_example

Examples on how to use the alpha vantage library

boruta_py icon boruta_py

Python implementations of the Boruta all-relevant feature selection method.

bqplot icon bqplot

Plotting library for IPython/Jupyter Notebooks

conda icon conda

OS-agnostic, system-level binary package manager and ecosystem

cookbook-2nd-code icon cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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