Real-Time-ML-Project

Visit Tool

Real-time-ML-Project is an Open Source research and education tool that provides a curated list of applied machine learning and data science notebooks. It offers Python notebooks for various industry applications, serving as a valuable resource for researchers and analysts.

Claim this tool

No Views Yet

At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Real-time-ML-Project?

Real-time-ML-Project is an open-source repository offering a curated list of applied machine learning and data science notebooks and libraries across diverse industries. Primarily utilizing Python and Jupyter notebooks, this resource is designed to assist analytical, computational, statistical, and quantitative researchers, as well as machine learning engineers and data scientists. It covers a wide array of sectors including Accommodation & Food, Agriculture, Banking & Insurance, Healthcare, and Manufacturing, providing practical examples and code for various applications. Users are encouraged to contribute their own tools and notebooks, making it a collaborative and evolving platform for real-world ML solutions.

Best used for

Ideal for developers, students, and teachers who need to explore real-world machine learning and data science applications, find practical code examples, and contribute to a collaborative knowledge base. Especially valuable for those looking for industry-specific ML solutions and Python-based notebooks.

Common actions

explore machine learning

learn data science

find ML applications

contribute to open source

access code examples

workflowsopen-sourcelow-code/no-codeautomated workflowcollaborationdeepfakeface swapping"AI Agents"github copilot

Capabilities

Key features

Curated ML notebooks
Industry-specific applications
Python-based examples
Jupyter notebooks
Collaborative contributions

Target Audience

developerstudentteacher

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

How can I contribute to the Real-time-ML-Project?

You can contribute by adding your tools and notebooks to the provided Google Sheet, or by sending a pull request through GitHub. The project encourages contributions from subject experts in various industries, especially for populating and maintaining Python analytics sections.

What kind of machine learning applications are covered in this project?

The project covers a wide range of applications across industries such as Accommodation & Food (e.g., recipe refinement, restaurant success prediction), Agriculture (e.g., yield prediction, disease identification), Banking & Insurance (e.g., fraud detection, loan repayment prediction), and Healthcare (e.g., general ML applications).

What programming languages and tools are primarily used in the notebooks?

The code in this repository is primarily written in Python, with a strong emphasis on Jupyter notebooks. This makes it accessible for those familiar with Python for data science and machine learning tasks.

Trending

Subcategories trending in Research & Education

Academic Research Knowledge Management Course Creation Scientific Computing Summarization Language Learning

Trending

Also listed in

This tool also appears in

Coding & Development › Code Assistants

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce