singh-l Goto Github PK

-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).

algorithms

A collection of algorithms and data structures

algorithms-1

STL Algorithm Cheat Sheet + example code from STL Algorithm Video Series.

algorithms_in_python

Algorithms implementation in Python 3 All codes are supported for Python 3.5 onwards

alone_seq2seq

android-sessions

Material for Android Sessions

autocomplete-lstm

Word Autocompletion Algorithm based on character-based LSTM

autoencoder-dimensionality-reduction

Dimensionality Reduction using AutoEncoders

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

aws-machine-learning-university-accelerated-cv

aws-machine-learning-university-accelerated-nlp

aws-machine-learning-university-accelerated-tab

bert-pytorch

Google AI 2018 BERT pytorch implementation

big-data-analytics

Contains documentations on implementations done in Big Data Analytics course

clustering_repo

Clustering text using text vectorization

coding_basics_java

Contains implementations of some basic level coding questions in Java

coding_basics_python

Contains implementations of some basic level coding questions in Python

compilers_project

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cosineartist

beautiful drawings using cosine curves

course-neural-networks-for-machine-learning

Neural Networks for Machine Learning (University of Toronto)

covid19india-react

📊 Source code of the main website

cpp_notes

Concepts in CPP

cpp_stl_material

ctua

cyclomatic-complexity

Mcabee's Cyclomatic Complexity

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

data-structures

A collection of powerful data structures

dcgans-synthetic-images-generation

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!