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jptrinastic's Projects

bayesian-analysis icon bayesian-analysis

Several worked examples and descriptions, with supporting code, that describe basic Bayesian Analysis based on Allen Downey's Think Bayes book.

kaggle---nomad-tco icon kaggle---nomad-tco

Kaggle competition to predict TCO band gap and formation energies. Output from Light GBM model placed in top 6%.

milp_vs_find_batt_scheduler icon milp_vs_find_batt_scheduler

Uses data from the data driven battery scheduling competition; introduces battery scheduling using MILP; compares to the find optimisation method I developed for the competition

mlrose icon mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

numerical-mooc icon numerical-mooc

A collaborative educational initiative in computational science and engineering.

pssa icon pssa

Singular Spectrum Analysis for time series forecasting in Python

pycel icon pycel

A library for compiling excel spreadsheets to python code & visualizing them as a graph

pymssa icon pymssa

Python implementation of Multivariate Singular Spectrum Analysis (MSSA)

rake icon rake

A python implementation of the Rapid Automatic Keyword Extraction

simanneal icon simanneal

Python module for Simulated Annealing optimization

solar_forecasting icon solar_forecasting

Comparing various time series forecasting methods using HI-SEAS Hawaii dataset in context of small training data set size.

solar_panel_detection icon solar_panel_detection

Comparing neural networks and deep forests in ability to detect solar panels from satellite images.

topic_modeling icon topic_modeling

Topic modeling methodology using natural language processing and unsupervised clustering techniques (K-means, Gaussian mixture models, LDA and doc2vec to be implemented).

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