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algorithms

Python files and jupyter notebooks on various machine learning algorithms

assessing_the_impact_of-_convolutions_in_genomic_data

blogs-intro_to_ai

book_reviews

This repositoy will contain brief and extended notes and essays about Books I have read.

building_damage_estimates

dummy-json

A public file of dummy json requests used in my apps and beyond

equations

A repo for various equations and their associated methods

gptree

Decision Tree's with Gaussian Process kernels.

gsm-prediction

Incorporating population structure and genomic similarity into genomic prediction.

impact_of_convolutions_on_genomic_prediction

lorenz-attractor-animation

machine_learning_predicting_phenotype_eval

machinelearningbris19

matplotlibprac

mlrw_notes_and_code

Jupyter notebook with my typed up notes and code for machine learning and the real world.

numpy

The fundamental package for scientific computing with Python.

parabolic_pde_solver

A general code using the finite difference methods specifically Forward Euler Backward Euler and Crank-Nicholson to solve a parabolic partial differential equation.

plextek-telemedicine-moles

population_genomics

r-greedy-modal-tree

This is an R package to build and evaluate greedy modal trees.

random-forest-fyp

An Implementation of random forest classifier used to optimise livestock production

random_scripts

A collection of random scripts that I have created

sc_coursework_1

A git repository for code relating to Coursework 1 of Scientific Computing at University of Bristol 2019-20

scientific-computing-week2

Quick git practice

scientificcomputingweek3

teaching_snippets

templates

A github repository for templates I use to start projects

writings

For notes on topics I am learning about, code will be in R and Python