Pinned Repositories
a-mere-peasant.github.io
arcolinux-deepin-minimal-
This is an iso for arcolinux with the deepin de
crython
Lightweight task scheduler using cron expressions
daal4py
sources for daal4py - a convenient Python API to DAAL
Dessert
didactic-waddle
something
Draw_This_
The Draw This project
shikanji
shikanji is a simple static site generator which builds posts using markdown files.
elementary-tweaks
elementary OS customization tool
network
An ansible role to configure networking
a-mere-peasant's Repositories
a-mere-peasant/a-mere-peasant.github.io
a-mere-peasant/crython
Lightweight task scheduler using cron expressions
a-mere-peasant/daal4py
sources for daal4py - a convenient Python API to DAAL
a-mere-peasant/Dessert
a-mere-peasant/Draw_This_
The Draw This project
a-mere-peasant/shikanji
shikanji is a simple static site generator which builds posts using markdown files.
a-mere-peasant/dotfiles
my dotfiles
a-mere-peasant/dwm
Luke's build of dwm
a-mere-peasant/dwm-flexipatch
a-mere-peasant/dwm-flexipatch-template
My flexipatch template repo for easy changes
a-mere-peasant/FLINT
a-mere-peasant/fluks
a-mere-peasant/GitHub101
Introduction to GitHub for Newbies
a-mere-peasant/Gwion
:musical_note: strongly-timed musical programming language
a-mere-peasant/kittyconf
a-mere-peasant/LARBS
Luke's Auto-Rice Bootstrapping Scripts: Installation Scripts for My Arch Linux Meta-Distribution
a-mere-peasant/linux-system-roles.github.io
Linux System Roles website
a-mere-peasant/mydwm
a-mere-peasant/neovim-config
a-mere-peasant/network
An ansible role to configure networking
a-mere-peasant/planday
a-mere-peasant/PyAutoLens
PyAutoLens: Automated Strong Gravitational Lens Modeling
a-mere-peasant/pyautolenssimulations
a-mere-peasant/readthedocs.org
The source code that powers readthedocs.org
a-mere-peasant/shadcn-solid
shadcn/ui, but for Solid.
a-mere-peasant/shields
Concise, consistent, and legible badges in SVG and raster format
a-mere-peasant/solidjs-shadcn-template
A solidjs template with shadcn ui out of the box
a-mere-peasant/sudokuNet
a-mere-peasant/supdwm
My second dwm config , this one is made using dwm-flexipatch
a-mere-peasant/Two-stage-Customer-Segmentation
In this project, we used the K-means algorithm to perform customer segmentation on data and tried to analyze the results with regards to how many clusters give us the best results. Then we trained a neural network on the data obtained from clustering to classify new samples so as to present the problem in a supervised way instead of finding clusters using K-means in an unsupervised fashion. This saves time as we do not have to perform clustering over all the data repeatedly.