common data analysis and machine learning tasks using python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
#计算机科学#🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
#计算机科学#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 alg...
#自然语言处理#A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
#计算机科学#[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
#学习与技能提升#👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
#计算机科学#Automated Data Science and Machine Learning library to optimize workflow.
#计算机科学#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 D...
#计算机科学#Collection of cheatsheets for data science, machine learning and deep learning :).
#计算机科学#The Learning Path and Comprehensive List of Materials from Data Science
#计算机科学#This repository contains jupyter notebook and other resources made by me during learning Data Science
#计算机科学#A curated list of links to great data science articles, videos, ...
Minimal Portfolio for my Data Science projects. Jekyll minimal template hosted on GitHub Pages.
#Awesome#📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴
Build, configure, and track workflows with Jarvis.
Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
#计算机科学#Machine learning models to automatically predict credit card frauds