Lovedeep Singh's Projects
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 NaΓ―ve 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).
A collection of algorithms and data structures
STL Algorithm Cheat Sheet + example code from STL Algorithm Video Series.
Algorithms implementation in Python 3 All codes are supported for Python 3.5 onwards
Material for Android Sessions
Word Autocompletion Algorithm based on character-based LSTM
Dimensionality Reduction using AutoEncoders
A curated list of awesome Machine Learning frameworks, libraries and software.
Google AI 2018 BERT pytorch implementation
Contains documentations on implementations done in Big Data Analytics course
Clustering text using text vectorization
Contains implementations of some basic level coding questions in Java
Contains implementations of some basic level coding questions in Python
Course Files for Complete Python 3 Bootcamp Course on Udemy
beautiful drawings using cosine curves
Neural Networks for Machine Learning (University of Toronto)
π Source code of the main website
Concepts in CPP
Mcabee's Cyclomatic Complexity
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
A collection of powerful data structures
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!