Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Machine Learning Engineering Open Book

😎 A curated list of awesome MLOps tools

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Frouros is an open-source Python library for drift detection in machine learning systems.

A framework for forecasting stock prices with emphasis on Machine Learning best practices.

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club

A robust (🐢) and fast (🐇) MLOps tool for managing data and pipelines in Rust (🦀)

A Helm chart containing Kubeflow Pipelines as a standalone service.

This repository contains examples of using various libraries/tools for MLOps.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Machine Learning for Production Specialization

The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨‍💻

Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.

Flower Classification Web Application (Built with Flask)

Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.

The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time d…

An cryptocurrency trading bot that uses automated machine learning for decision making to maximize returns.

MLE NLP Matcher that maps item descriptions in natural language to carbon emission labels and factors