Shril Kumar's repositories
CubicEquationSolver
Python Script to find the roots of a Cubic Equation
google-interview-university
A complete daily plan for studying to become a Google software engineer.
autolabel
Label, clean and enrich text datasets with LLMs.
Daft
The Python DataFrame for Complex Data
dataengineer-nanodegree
Udacity Data Engineer Nanodegree
DataQuest
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
dataquest-DE
Data Quest - Data Engineer Learning and Projects
dataquest-projects
This repo contains the projects I completed as part of Dataquest's Data Engineering path. The goal was to learn how to build data pipelines to work with large datasets.
dataquest_eng
Here's how to get DataQuest's Data Engineering Track missions' content to work on your localhost. Using data from my Valenbisi ARIMA modeling project, I document my steps using PostgreSQL, Postico, and the Command Line to get our DataQuest exercises running out of a Jupyter Notebook.
hello_world
Sample project to deploy to AWS
herring-cove
Herring Cove is a clean and responsive theme for Jekyll.
hypertrace
An open source distributed tracing & observability platform
kedro
A Python library for building robust production-ready data and analytics pipelines.
koalas
Koalas: pandas API on Apache Spark
metasploit-framework
Metasploit Framework
parivartan
Our team is building a tool to fight the Global Warming and Greenhouse Effect by training a recommender engine to recommend tasks to the users. The tasks would be calibrated to maximize the impact of each task while keeping in mind the user's preference and convenience. The primary purpose of this tool will be to minimize greenhouse emission on a user-by-user level to cut down the biggest non-industrial production of global warming without the need of major expenditure and fewer lifestyle changes. The highly optimized recommender engine chooses tasks from a wide database and also keeps track of impact till date. We will be building a Java applet as a proof-of-concept and the minimum viable product with plans to port a web app in the future. The major frameworks we would be using are Vaadin, Apache Mahout, Gauva, SLF4J, Apache Common Maths.
shril.github.io
Personal Portfolio Website
spark
Apache Spark - A unified analytics engine for large-scale data processing
tinydb
TinyDB is a lightweight document oriented database optimized for your happiness :)
unmotivational
Unmotivational Quotes