vishalkesti382

-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).

3HAN

3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-319-70096-0_59

AI_in_Finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

AnoGAN

Tensorflow Implementation of AnoGAN (Anomaly GAN)

Anomaly-Detection

Anomaly detection algorithm implementation in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Artificial-Intelligence

Complete MS AI Course

attn2d

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

vishalkesti382/AI_in_Finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

vishalkesti382/awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

vishalkesti382/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

vishalkesti382/AzureOcr

Using Azure Computer vision service

vishalkesti382/bbc-news-topic-modelling

vishalkesti382/BERT_binary_text_classification

Accompanying code for the Medium article

vishalkesti382/Complete-Python-3-Bootcamp

vishalkesti382/Cookbook

The Data Engineering Cookbook

vishalkesti382/custom-named-entity-recognition

Building Custom named entity recognition for various problems

vishalkesti382/Data-Science--Cheat-Sheet

Cheat Sheets

vishalkesti382/dell_prod_recommend

vishalkesti382/dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

vishalkesti382/EAST

A tensorflow implementation of EAST text detector

vishalkesti382/fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

vishalkesti382/flores

Facebook Low Resource (FLoRes) MT Benchmark

vishalkesti382/fraud-detection-AMLSim

vishalkesti382/gitignore

A collection of useful .gitignore templates

vishalkesti382/Industrial-sensors-data-feature-importance

vishalkesti382/machine-learning-end-to-end

This repo has my project made for GFK ML Interview task

vishalkesti382/ML-YouTube-Courses

📺 A place to discover the latest machine learning courses on YouTube.

vishalkesti382/mlframework

vishalkesti382/mlops-demo

vishalkesti382/nlp-health-care-chatbot

vishalkesti382/NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

vishalkesti382/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

vishalkesti382/pyforest

Lazy-import of all popular Python Data Science libraries

vishalkesti382/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

vishalkesti382/sentiment-analysis

vishalkesti382/sql-python-machine-learning-task

vishalkesti382/workshops

A few exercises for use at events.