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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphicβ¦
If you can measure it, consider it predicted
Predict time-series with one line of code.
Efficient Python Tricks and Tools for Data Scientists
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Incremental ML learning in the real-world
Python implementation of binary and multi-class Venn-ABERS calibration
Practical Guide to Applied Conformal Prediction, published by Packt
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Python implementation of the conformal prediction framework.
Python training for business analysts and traders
Source for https://fullstackdeeplearning.com
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Curated list of data science interview questions and answers
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Data science interview questions and answers
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
Everything you need to know to get the job.
Short code snippets for all your development needs
Learn how to design systems at scale and prepare for system design interviews
These are the best resources for System Design on the Internet