Pinned Repositories
average_distance_metrices
An implementation of DISTATIS as developed by Abdi et al for averaging a stack of distance matrices
BAM-neural-net
Based on bidirectional heteroassociative memory model by Chartier & Boukadoum, 2006.
current_projects
kaggle, random stuff
eigenDMA
A distance metric analysis approach to pattern characterisation
mining_DS_job_descriptions
first foray in web scraping
MLND
monty-hall
past_projects
Mostly work I carried out over my graduate studies in neuroscience
pca_faces
prob-clustering
Unsupervised clustering based on Lloyd’s algorithm.
A-V-M's Repositories
A-V-M/average_distance_metrices
An implementation of DISTATIS as developed by Abdi et al for averaging a stack of distance matrices
A-V-M/BAM-neural-net
Based on bidirectional heteroassociative memory model by Chartier & Boukadoum, 2006.
A-V-M/current_projects
kaggle, random stuff
A-V-M/eigenDMA
A distance metric analysis approach to pattern characterisation
A-V-M/mining_DS_job_descriptions
first foray in web scraping
A-V-M/MLND
A-V-M/monty-hall
A-V-M/past_projects
Mostly work I carried out over my graduate studies in neuroscience
A-V-M/pca_faces
A-V-M/prob-clustering
Unsupervised clustering based on Lloyd’s algorithm.
A-V-M/pulsar_detection
code for a mini-project I carried out. full report can be found @ dataincognita.net
A-V-M/QR_factor
LLS and orthogonalisation with QR factorisation
A-V-M/regression-intro
Code for primer on linear regression @ https://dataincognita.net/2018/02/03/ds-fundamentals-p3-linear-regression/
A-V-M/svm_intro
A-V-M/web_scraping
playing around with scraping articles from google.. quite primitive but it works