vishalkesti382
Hello, I am Vishal, a proven AI professional who believes machine learning can complement human work to make businesses operate more efficiently.
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Pinned Repositories
-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's Repositories
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.