
machine-learning in Python
Scikit-learn
BigML
Google Cloud TPU
python-recsys
Qubole
Amazon Forecast
Microsoft Bing Image Search API
n8n.io
Zapier
Make.com
ifttt
Microsoft Power Automate
Huginn
Gumloop
Node-RED
machine-learning in PythonNo machine-learning in Python videos yet. You could help us improve this page by suggesting one.
Based on our record, n8n.io seems to be a lot more popular than machine-learning in Python. While we know about 256 links to n8n.io, we've tracked only 7 mentions of machine-learning in Python. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 3 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally wonโt make you hireable unless youโre doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: over 4 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago
n8n โ open source, self-hostable. The hosted cloud tier exists if you'd rather not run it, but self-hosting is the whole point here. - Source: dev.to / about 1 month ago
You'll need an n8n instance (cloud or self-hosted), an FFmpeg Micro API key from ffmpeg-micro.com, and a cloud storage folder your team already uses for video files. - Source: dev.to / about 2 months ago
n8n and similar visual workflow tools were on the list for one specific reason: leadership likes seeing the boxes-and-arrows. But the LLM nodes aren't first-class โ you'd be wrapping every model call in HTTP, and the graph is in a database, not in code that's reviewable in a PR. Auditability and reproducibility are both worse than the LangGraph + bus path. (n8n is a great fit for non-LLM SOAR-style automations,... - Source: dev.to / about 2 months ago
Sign up at n8n.io (free cloud version is perfect to learn). - Source: dev.to / about 2 months ago
n8n is a workflow automation tool, similar in concept to Zapier or Make, but one you can self-host. It lets you connect applications and services together through a visual node-based interface and build fairly complex automations without writing code. It's one of the services I've been getting the most out of lately. - Source: dev.to / about 2 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Make.com - Tool for workflow automation (Former Integromat)
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.