Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Part 1 of a 2 part course about building a computer system from ground up, this part starts from the implementation of a single NAND gate, and builds all the way up to the most complex computer chips e.g. CPU/memory, comprehensively.

ostep-exercises

Exercises that go along with Arpaci-Dusseau's Operating Systems: Three Easy Pieces

performanceengineeringservice

This repository is intent to cover performance engineering of system and application. It will cover tools and techniques to measure performance, performance tuning and build performance dashboards.

probable-fiesta

log-structure key value store, using WAL for providing atomicity and durability, structured segments without duplicates for sequential writes, and pure key-value style data (rather than hierarchical or tabular data models)

raft-store

replicated data store written in go, built on etcd/raft consensus algorithm

rubiks-cube-reinforcement-learning

Implementation of an RL based agent, which utilizes Q-Learning to develop a policy for effectively solving a 3x3x3 rubiks cube

scrapebbref

Python Scraper, which utilizes the requests module to make http requests to basketballreference.com, and BeautifulSoup, to parse information for all active nba players

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

searchclipboard

Simple Python package to automate google search of current clipboard contents

software-router

Software-based router, connecting a set of private virtual networks to home network.

spark-nba-analytics

Analyzing NBA data using Spark 2.1

stock-data-cluster-analysis

Analysis of the S&P 500 US stock exchange, utilizing the K-means unsupervised learning algorithm for clustering various stocks based on commonly used financial figures