📝 An awesome Data Science repository to learn and apply for real world problems.

common data analysis and machine learning tasks using python

🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Automated Data Science and Machine Learning library to optimize workflow.

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

Collection of cheatsheets for data science, machine learning and deep learning :).

The Learning Path and Comprehensive List of Materials from Data Science

An R package to extract text from pdf.

This repository contains jupyter notebook and other resources made by me during learning Data Science

A curated list of links to great data science articles, videos, ...

Build, configure, and track workflows with Jarvis.

Minimal Portfolio for my Data Science projects.

Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.

Machine learning models to automatically predict credit card frauds

Notes, Ideas, and Projects related to my Springboard data science career track