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Based on our record, ifttt seems to be a lot more popular than machine-learning in Python. While we know about 179 links to ifttt, 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.
What I've done instead is, for any recurring event that isn't really due on that date, like "book a haircut" or "fertilize roses", I add an event on a Google Calendar called "Tickler" with the desired recurrence. I then have an IFTTT (https://ifttt.com/explore) integration that creates a Todoist event in my inbox whenever that event shows up on my calendar. It doesn't show up with a due date so I can schedule it... Source: almost 2 years ago
Or head to the Explore page and see if anything grabs your attention. Source: about 2 years ago
Slack has a feature to schedule messages, also a bunch of bots that do various scheduling tasks… Also you could use a email marketing tool like Mailchimp that could allow you scheduling Mails far a head. But any service you choose should be around somewhat longterm right? It will probably require some money and a bit of luck for the service or app of choice to stay around for a while. So ideally something relying... Source: over 2 years ago
I don’t know about the air tag nativity, which it probably does. But you can do that with any smartphone they has gps; with an app / website called ifttt. Source: over 2 years ago
There's also some automation that you can do with something like https://ifttt.com/explore. Source: over 2 years ago
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: about 2 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 2 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re 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: about 3 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 3 years ago
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Make.com - Tool for workflow automation (Former Integromat)
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.