Abhimanyu's repositories
ID3_DecisionTree
Implemetation of ID3 algorithm which calculates Entropy and Information Gain and based on those values a decision tree is formed
blogApp
Following RESTful architecture to create an blog application using NodeJs, mongoDB
ComputerVision
Computer Vision projects.
PythonDataScience
Visualization, Machine Learning, Deep Learning using TensorFlow, Theano, Keras ,Apache Spark, Hadoop using JupyterNoteboks
spring-reactive-stack
A Webservice project which is based on Spring Reactive Framework using Spring WebFlux and MongoDB
CampSiteFinder
A full functioning site to find camping site
CARDS_GO_lang
CARDS program in Go
DataStructure
DataStructures in Java, Soluttions from CTCI and other Books
DeepLearning
Utilizing keras, tensorflow, etc. To develop Neural, CNN and RNN models.
dicePigGame
Pig which is a dice game played by 2 players online.
flask-mongo-dock
A simple Flask based RESTful app which connects Mongo db.
flask-text-similarity-app
A small Flask based app which finds similarity between two strings of texts, it is is using spacy python module and emulates a Webservice style app. The app is created for practicing flask framework and doesn't claim to be perfect similarity app
GO_Lang
Development in GO
kaggle
Trying new Kaggle Datasets
kmeans-on-Twitter-Sentiment-Analysis
Implementation of kmeans using Jaccard and Eucledian distances as Distance Metric
leetCode
LeetCode code practice and Solution
MacScripts
Simple utility scripts to run at Terminal.
microservices-springboot
A Springboot app following Microservices architecture using Netflix Stack
movieflix
A movieapp
Pig
Pig Queries on Different Data set
pythonProjects
Set of mini python projects
SparkAndHadoop
Saprk and Hadoop learning using Scala
sparkTutorial
Spark exercises using Java 8
spring-reactive-r2dbc
A Spring Reactive project with R2DBC driver and H2 database setting
spring-reactive-stack-client
A Non Blocking Client to run the Spring Reactive Stack webservice
TestingFeatures
GitHub Capabilities Tested
Twitter_Sentiment-Analysis
Implements Sentiment Analysis. on live twitter feeds. The Algorithms rates the positive and negative words and provides weight to them and based on the weight and given threshold it determines whether the tweet is positive or negative in nature.