Sreenivas1993

FakeNewsDetection

Extracted sample Tweets and their external links to detect fake news by using “kaggle’s fake news dataset”, PySpark, NLTK Library by TFIDF, ARI (Automated Readability Index), Syntactic POS, ORS (Online Relevance Score) , LDA, Word2Vec and 16 more NLP features. These features were Classified using Random Forest and Ada-Boosting.

ansage

Project in Web Programming Languages

Big-Data

Coursework in Big Data

datasciencecoursera

Works for data Science course in Coursera

FakeNewsDetection

Kaggle

Project works using Kaggle dataset

Machine-Learning-Coursework

Coursework of Machine Learning

Optical-Character-recognition-using-CRF

Python

pipelines-javascript-docker

Sample Node.js Docker application referred to by Azure Pipelines documentation

Yelp-photo-Classification

Convolutional Neural Network using Pytorch for Image Classification

Sreenivas1993/ansage

Project in Web Programming Languages

Sreenivas1993/Big-Data

Coursework in Big Data

Sreenivas1993/datasciencecoursera

Works for data Science course in Coursera

Sreenivas1993/FakeNewsDetection

Sreenivas1993/Kaggle

Project works using Kaggle dataset

Sreenivas1993/Machine-Learning-Coursework

Coursework of Machine Learning

Sreenivas1993/Optical-Character-recognition-using-CRF

Python

Sreenivas1993/pipelines-javascript-docker

Sample Node.js Docker application referred to by Azure Pipelines documentation

Sreenivas1993/Yelp-photo-Classification

Convolutional Neural Network using Pytorch for Image Classification