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akri

A Kubernetes Resource Interface for the Edge

bike-pool-app

Bike pooling app(Django)

blitz_theme

Creating a simple web UI

canadian-citizenship-study-guide

clocks

An interview exercise for a devops position

coding-interview-university

A complete computer science study plan to become a software engineer.

dsa

Repo implementating data structures in Python

ekuiper

Lightweight data stream processing engine for IoT edge

entities_app

ericsson_ml_challenge

Involves code for two challenges 1.Data have been extracted from a website that provides job reviews. The website wants to analyze texts and the corresponding rating that is provided by the user about startups. A research team wants to analyze the liability of the review. In other words, they want to verify whether texts correspond as the same as the score that is provided as the rating for a startup. This task helps the website to rank the user's reviews or ratings. 2.We are living in a digital world where people prefer to read articles online or watch videos rather than reading a book. Assume that you are a member of a marketing agency and you are given a dataset having the title, subjects, and other features based on which you have to predict what will be the material of to-be-published research so that you can tie-up with an ideal publisher and help them grow. The following are the material types: Book Sound disc Videocassette Sound cassette Music Mixed CR Task is to predict any of the classes for the test data.

exchange-rate-app

financial-news-sentiment-analysis

Financial News Sentiment Analysis

firedrake

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

ftl_backend_test

Django app for FT Labs test implementing a autocomplete search

give_me_some_credit

Defaulter prediction:

go-profiler

Wrapper on go runtime to get usage stats for services

golang-intro

Repo consisting GO exercises from the official documentation page

grokking-system-design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

himanshu372

kha-ching

Algotrading strategies for Indian Stock Markets

kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

ltfs_loan_default_prediction

Repo contains code for LTFS data science hackathon which was hosted on Analytics Vidya

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

max-customer-classification

Solution for Hackerearth competition on classification of customers, if they will shop in newly opened Max stores. The dataset combines personal information of customer and transactions. Approach involved combining data, feature extraction, NA imputation, training and calculating F-score.

nlp_with_deep_learning_course

Assignments repo for the CS224n course of Stanford University on Language Processing with Deep Learning

nltk_exercises

openbbterminal

Investment Research for Everyone, Anywhere.

openfga

A high performance and flexible authorization/permission engine built for developers and inspired by Google Zanzibar

openfgaapi

Protocol Buffers used by OpenFGA

openmined_course

Intro course for Openmined community