shril Goto Github PK

autolabel

Label, clean and enrich text datasets with LLMs.

awesome-flask

A curated list of awesome Flask resources and plugins

azure-webapp

cubicequationsolver

Python Script to find the roots of a Cubic Equation

daft

The Python DataFrame for Complex Data

data-structures

Commonly used DS implemented in JAVA

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.

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hackfest-2.0

hackfest_defaulting

hello_world

Sample project to deploy to AWS

herring-cove

Herring Cove is a clean and responsive theme for Jekyll.

hoaxbait

Fake News Detection

hypertrace

An open source distributed tracing & observability platform

image-annotation

image-labelling

kalshi-scripts

kedro

A Python library for building robust production-ready data and analytics pipelines.

keyv

Simple key-value storage with support for multiple backends

koalas

Koalas: pandas API on Apache Spark

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

metasploit-framework

Metasploit Framework

mother-of-automations

Web and Desktop based applications to reduce human time spend on shallow work.

nlp_tutorials

pagerank

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.