gkshindia Goto Github PK

adminlocal

A Flask WebApp, for Admin and Local

bird-migration

Tracking the path of the bird using recorded GPS data.

bucketapi

caesar-cipher

This is a Caesar cipher. Each letter in a message is shifted by a few characters in the alphabet, and returned.

choredoor

A sample project implementing HTML, CSS, JS

codecheckr

Microservices App, with Flask, Docker and React

crawlwunder

Weather Crawler command line tool and an Flask API along with it.

dna-translation

Translating the DNA sequence using the dictionary Lookup

dogsvscats

An algorithm to distinguish dogs from cats

extractname

Extract names from resume

fast-style-transfer-deeplearnjs

Demo of in-browser Fast Neural Style Transfer with Deeplearn.JS library

flaskapi

An Sample FLaskAPI production ready, Oauth, Session Management

flasktrial

game-of-life

giktastic

My entrance into My personal development of Software development

knn-classification

In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in the feature space. The output depends on whether k-NN is used for classification or regression: In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor. In k-NN regression, the output is the property value for the object. This value is the average of the values of its k nearest neighbors.

lodashjs

markdown-content

Markdown content for the www.aerobatic.io website

nlp-restaurant_review

Applynig NLP on Restaurant Reviews

nodeapi

A API in pure Node.Js, without NPM modules

rust_projects

My entry into the world of Rust the ahead of time compiled language, and it's beauty of other interesting features

salary-of-adults

The data set has been taken from UCI Machine Learning Repository. In this data set, the dependent variable is 'target'. It is a binary classification problem. We need to predict if the salary of a given person is less than or more than 50K

swipt

Simultaneous Wireless Information & Power Transfer

titanic-ml

Predict survival on the Titanic with analysis of what sorts of people were likely to survive

villagenetwork

A data analysis on the social network among two villages in india

whisky-classification

Classify Whiskies and correlate them based on regions and other details such as Flavours