rahuljungbahadur
Sr. Data Scientist at Nestlé | ❤️ Scalable ML system design in Python, R and experimentation
NestléWashington DC, USA
rahuljungbahadur's Stars
databricks-industry-solutions/causal-incentive
Accelerator for customer incentive investment using causal inference techniques
unit-mesh/auto-dev
🧙AutoDev: The AI-powered coding wizard(AI 驱动编程助手) with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing/Document/Agent feature 🧪 included! 🚀
projen/projen
Rapidly build modern applications with advanced configuration management
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Mixtape-Sessions/Synthetic-Control-and-Clustering
Synthetic-Control-and-Clustering taught by Alberto Abadie
Mixtape-Sessions/Heterogeneous-Effects
Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
sinanuozdemir/oreilly-transformers-nlp-mlops
Session on MLOps
google-research/google-research
Google Research
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
LucaCanali/sparkMeasure
This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
NeerajBhadani/spark-streaming
This repository contains code for Spark Streaming