TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Actuarial reserving in Python
A Python implementation of the semiparametric double-index estimator of Klein and Vella (2009)
A tensorflow template with TF Dataset API, TFRecords and TF Custom Estimator for multi-class image classificaiton task
Python implementation of Double/Debiased machine learning algorithm from Chernozhukov et. al ontop of sklearn. Builds and deploys to pip using github actions.
国内基金数据获取及回归排名
sequential state estimator examples, including EKF, UKF, CKF, IMM, and etc.
Implementation of the projects for the DSC 530: Probability and Statistics for Data Science course, of the MSc in Data Science programme of the University of Cyprus.
A modular two-step convex optimization estimator for ill-posed problems
Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Analysing dataset using statistical estimators
A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.
Properties of estimators using the Univariate Normal model
Extra blocks for scikit-learn features.
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