Abhishek Bhatia's Projects
I. Me. Myself.
My github pages website
Working with databases in Python
Advanced statistical methods in natural resources and environmental sciences
Application of Bayesian statistics and Extreme Value Theory in estimating return levels of precipitation and temperature
In this repository, I build interpretable machine learning models to develop credit scorecards by modelling all three components of expected credit loss (probability of default (PD), loss given default (LGD) and exposure at default (ED)
Exploring the world of machine learning, deep learning, NLP, CV, Statistics, MLOps one mini-batch at a time. Come dive in to find exciting explorations inside!
Exploring various libraries (pandas, numpy, matplotlib) to wrangle data in Python
Deeplearning.AI short courses on LLMs (mostly)
Deep learning approaches to Aspect Based Sentiment Analysis
Notebooks for learning deep learning
Statistical analysis and projection from dynamically downscaled regional climate models (CORDEX)
Contains my codes for the submitted poster at the National Space Science Symposium 2019
Predicting income based on census data using machine learning. Flask for serving model API, Docker for contanerization, API docs using Swagger, API testing using Postman, and simple frontend using Streamlit.
Practice code for data science
Python practice code
R practice code
Iris multiclass classification using Kedro!
ISI Tezpur 2019 - 2020 batch
Kedro training repository following quantumblacklabs tutorial
Learning git through amigoscode youtube tutorial
A very basic project tracker flask app
Python Crash course ebook practice and more!
Jupyter notebooks from the scikit-learn video series
A simple web scraper to scrape quotes from the website http://quotes.toscrape.com/
Python utilities for (simple) cleaning carbon records for generating carbon credits