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Elie Kawerk's Projects

dvc-gitactions icon dvc-gitactions

Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper

ebnerd-benchmark icon ebnerd-benchmark

Ekstra Bladet Recommender System repository for benchmarking the EBNeRD dataset.

econometric-algorithms icon econometric-algorithms

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

educative.io_courses icon educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

emnist_dl2prod icon emnist_dl2prod

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

employee_retention icon employee_retention

Predict employee retention rate for the HR department of a company using machine learning.

energy-forecasting icon energy-forecasting

🔋 The Full Stack 7-Steps MLOps Framework - Learn ML Engineering by designing, implementing, monitoring, and deploying your own energy consumption forecaster.

failed-ml icon failed-ml

Compilation of high-profile real-world examples of failed machine learning projects

fairrec icon fairrec

Two-sided Fairness in Recommendations

fake-news icon fake-news

Building a fake news detector from initial ideation to model deployment

fastapi-nano icon fastapi-nano

🐍 Simple FastAPI template with factory pattern architecture

financial-data-structures icon financial-data-structures

Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.

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