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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

ab-testing

A/B Testing on synthetic e-commerce data

awesome-llm-for-recsys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

bikeshare

Statistical analysis of bike-share data

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dython

A set of data tools in Python

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

fasttext

Library for fast text representation and classification.

flask-framework

Basic template for using Flask on Heroku

foodflix

gson

A Java serialization/deserialization library to convert Java Objects into JSON and back

handson-ml3

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.

heroku-basic-flask

Example of deploying a Python Flask app onto Heroku

heroku-flask-quakes-lesssimple

Making an earthquake Flask app and deploying it on Heroku (less simple)

home-credit-default-risk

Kaggle competition. A collaborative exercise in supervised learning/classification.

inttower

Source code of IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-ranking System”

isl-python

Porting the R code in ISL to python. Labs and exercises

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

legacy-cc

The earliest versions of the very first c compiler known to exist in the wild written by the late legend himself dmr.

llm-sequential-recommendation

All code necessary for reproducing "Leveraging Large Language Models for Sequential Recommendation"

llm4rec-awesome-papers

A list of awesome papers and resources of recommender system on large language model (LLM).

lrurec

PyTorch Impelementation of Linear Recurrent Units for Sequential Recommendation

mapie

A scikit-learn-compatible module for estimating prediction intervals.

middle-eastern-cuisine

Some explorations of the ingredients in middle-eastern cousines

ml-cliff-notes

Machine Learning Cliff Notes

myflasktutorial

A Flask Tutorial for people who don't know any web programming. Actually, it would be helpful to know static HTML, also Python.

nptyping

💡 Type hints for Numpy and Pandas

om

Ontology of units of Measure

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）