MIK's repositories
Twitter_Sentiment_Analysis_with_Kubernetes
An end-to-end project for twitter sentiment analysis which goes through data (story-telling and processing), modelling a sentiment analyzer, creating a minimal application in Flask to serve batch requests and ends at deploying it using Docker and orchestrating with Kubernetes.
Conditional-WGAN-GP
From scratch implementation of Conditional WGAN with Gradient Penalty
Book-Review-Sentiment
Book review sentiment analysis using Sklearn
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
Qwiki
A RAG-based application which uses LLMs to enhance users' search experience using its pre-trained data augmented with information from Wikipedia, including references/sources and hyperlinks to credit those whose data was used for augmented generation (e.g. Authors of an article in NY Times).