Faaez Razeen Nizamudeen's repositories
z-planner
[WIP] A professional planner application. Take control of your time.
bittorrent-client-go
A BitTorrent client built from scratch using Go.
fetch-backend-take-home-test
Submission for Fetch's take-home test for the Backend Software Engineer Internship.
json-storage-manager
JSON Storage Manager Python Package
pyMeterBus
Pure Python implementation of the Meter-Bus (M-Bus EN13757-3) protocol.
lattice
A pathfinding visualizer built using PyGame.
noipy
Command line tool to update DDNS: No-IP, DuckDNS and DynDNS hosts IP
mdutils
Python package contains a set of basic tools that can help to create a markdown file.
fooof
Parameterizing neural power spectra into periodic & aperiodic components.
neurodsp
Digital signal processing for neural time series.
pingouin
Statistical package in Python based on Pandas
nifi
Apache NiFi
image-cropper
https://faaez.co.in/blog/digitizing-old-photos-using-computer-vision
blazyy.github.io
My website. https://faaez.co.in/me
pasta-maker
Please don't take this seriously.
leetcode-submissions
Contains all of my Leetcode submissions.
gpa-grabber
A Selenium based web scraper that retrieves students' university results.
sorting-visualizer
A sorting visualizer built using p5.js
whatsapp-data-analysis
A data analysis that I performed on a WhatsApp group chat.
data-analysis-imdb
An exploratory data analysis conducted on Hollywood movies released 2000 - 2018. Scraped, cleaned, and visualized.
neighbourhood-clustering
Clustering various neighborhoods on Chennai based on various venues located using the Foursquare API. Was part of the final capstone project in the IBM Data Science Professional Certification course on Coursera.
movie-revenue-prediction
A project on predicting movie revenue using a variety of machine learning techniques.
assignment_submissions
Contains code for assignment submissions for the problems on Coursera's Data Science Foundations using R Specialization course by Johns Hopkins University.
algorithms-sem-5
All the algorithms that I studied during Semester 5 at university. If at all you made it to this ancient repo, understand that these algorithms were written with the aim of successful compilation and correct output, not time/space complexities. Why, you ask? Read my blog post.