rahuljungbahadur
Sr. Data Scientist at Nestlé | ❤️ Scalable ML system design in Python, R and experimentation
NestléWashington DC, USA
Pinned Repositories
dsidAPI
api for dsid calculators
nhanesDS
A program to pull dietary supplements from NHANES
ingredientDB
A Shiny application for parsing and standardizing food descriptions.
rBahadurFunc
a set of functions for helping in model analysis and RMARKDOWN publications
auto_encoder_pytorch
a pytorch implementation of auto-encoder to predict the ratings that a movie would get
keras-MNIST
walmart_m5
Kaggle walmart M%
NCAA538
tidyTuesday
1st-repository
advanced_R
exercises and examples from Advanced R book (2nd edition)
rahuljungbahadur's Repositories
rahuljungbahadur/interpretable_causal_ML
Repo for testing out interpretable ML techniques
rahuljungbahadur/streamlit-agent
Reference implementations of several LangChain agents as Streamlit apps
rahuljungbahadur/test_repo
This repo is full of placeholder code to test AgentHub GitHub automations on
rahuljungbahadur/experiments_and_simulations
A repo for testing out some hypothesis and concepts
rahuljungbahadur/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
rahuljungbahadur/staticwebdev
test out azure sttic web app
rahuljungbahadur/rahuljungbahadur
About me
rahuljungbahadur/ts_lift_study
try to extract the effect of ad exposure on purchase patterns of users
rahuljungbahadur/causal_inference_mixtape
exercises and examples from the book
rahuljungbahadur/causal_inference_course
coursework for causal inference course
rahuljungbahadur/oreilly-transformers-nlp-mlops
Session on MLOps
rahuljungbahadur/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
rahuljungbahadur/causal_inference_intro
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
rahuljungbahadur/BayesianModelingandComputationInPython
Fork for the book
rahuljungbahadur/ray_tutorial
rahuljungbahadur/walmart_m5
Kaggle walmart M%
rahuljungbahadur/hands_on_ml_book
some exercises from the book
rahuljungbahadur/stat_rethinking_2022
Statistical Rethinking course 2022
rahuljungbahadur/AdventureWorks_HR
HR Dashboard dev
rahuljungbahadur/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
rahuljungbahadur/apartmentLookup
a data based approach for looking up apartments/condos
rahuljungbahadur/statsExperiments
experiments and simulations for stats concepts
rahuljungbahadur/Building-Data-Science-Applications-with-FastAPI
Building Data Science Applications with FastAPI, Published by Packt
rahuljungbahadur/lydianLookup
a script for looking up apartment units in Lydian
rahuljungbahadur/covid-19-the-economist-global-excess-deaths-model
The Economist's model to estimate excess deaths to the covid-19 pandemic
rahuljungbahadur/bookclub-tmwr
rahuljungbahadur/gitActions
demo of Github Actions
rahuljungbahadur/covid19-flexdashboard
A simple covid19-dashboard built with Flexdashboard
rahuljungbahadur/git-custom-action
a custom action test
rahuljungbahadur/gitPipeline
a sample pipeline for git CI/CD