Live as if you were to die tomorrow, learn as if you were to live forever... The unexamined life is not worth living... Learning is not compulsory, neither is survival... Real knowledge is to know the extent of one's ignorance... Any fool can know, the point is to understand...
Here's a selection of my public work, learning exercises, and explorations:
A spiritual chatbot built using agentic RAG principles and deployed on Telegram.
A kaggle bronze medal notebook on disaster tweets classification with LSTM and fasttext embeddings.
Train transformer models on a novel semantic similarity dataset to help patent searches.
Implementation of different generative network architectures like autoencoders, VAEs, GANs etc.
Jupyter notebooks handling different parts of the data science pipeline for audio classification kaggle competition.
Train statistical ML models to predict student dropout and academic success in higher education.
Implementations and exercises covering fundamental data structures and algorithms in Java.
Implementations and exercises covering fundamental data structures and algorithms in Python.
A collection of practical exercises and notebooks exploring various data science and machine learning concepts.
Completed programming exercises from the classic Coursera Machine Learning course by Andrew Ng.
Notes and exercises from the DeepLearning.AI TensorFlow Developer Professional Certificate specialization.