nanaakwasiabayieboateng Goto Github PK

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Name: Nana Akwasi Abayie Boateng

Type: User

Bio: Statistical/Machine Learning,mathematics,Data science

Nana's GitHub Space

My name is Nana Boateng. I am a Statistician, Econometrician and a Data Scientist:

I am interested in Applying mathematics, statistics,economics and computer science concepts in solving business, economic, finance and industrial problems.
I am broadly interested in applied statistical methods such as non-parametric methods,exact statistical methods, bayesian inference, hierachical/multilevel models, time series, survival analysis ,Markov Chain Monte-carlo etc.
Machine learning (deep learning, recommender systems, natural language processing, network analysis), Clustering Algorithms, Dimensionality Reduction Sample Size Estimation and Power Analysis.
Optimization techniques (linear / nonlinear programming, dynamic / stochastic programming)
Quantitative finance ( Monte Carlo simulation, risk quantification, portfolio optimization, economic scenario generation)
Distributed computer storage and processing : Spark, SQL ,GPU computing

personal website

Nana Akwasi Abayie Boateng's Projects

-exact-test-nonparametric-conditional-test-for-clustered-binary-data-

accelerators

R based data science solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

adanet

Fast and flexible AutoML with learning guarantees.

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).