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-fake-news-detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

123-essential-javascript-interview-question

JavaScript 123 interview Question, Interview Question In JavaScript, Front-end Interview Question, Advance JavaScript Interview Question, Difficult Question In JavaScript, Most Frequently asked JS question, Great JavaScript Interview Question

2015lab1

akka-spring-zeromq

Communicate with Akka Actors injected with a Spring service over ZeroMq

alexa-avs-sample-app

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

algobox

Open Source algorithmic trading platform

algotrading

Algorithmic Trading, Baruch course project

algotrading-1

Algorithmic trading platform for multiple assets

androidtensorflowmachinelearningexample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

apache-kafka-book-examples

Fixed and updated code examples from the book "Apache Kafka"

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-datascience-ideas

A list of awesome and proven data science use cases and applications

awesome-for-beginners

A list of awesome beginners-friendly projects.

aws-sdk-java

Official mirror of the AWS SDK for Java. For more information on the AWS SDK for Java, see our web site:

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

bateman

Simple stock trading system that optimizes its parameters with particle swarm optimization

become-a-full-stack-web-developer

Free resources for learning Full Stack Web Development

bigdata-papers-reading

A curated list of Big data papers reading for anyone who are eager to learn!

bimserver

The open source BIMserver.org core.

bugzilla

Read-only mirror of Bugzilla source from git.mozilla.org/bugzilla/bugzilla.git. Tests at https://travis-ci.org/bugzilla/bugzilla –

cbrec

Content-based Recommendation Generator

cloud-vision

Sample code for Google Cloud Vision

cloveretl-engine

clustermaps_with_seaborn

collaborative-filtering

Implemented Item, User and Hybrid based Collaborative Filtering

content-engine

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

cookbook

The Data Engineering Cookbook

course

Spring Security Video Course with Packt

course-recommendation-system

An online course recommendation system for JHU-ISI

coursera-intro-recommendation-systems

Programming assignments for Introduction to Recommendation Systems course on Coursera.org