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Based on our record, Scikit-learn should be more popular than Hero Health. It has been mentiond 27 times since March 2021. 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.
Hero - A dose of calm for the whole family (herohealth.com). Source: 11 months ago
Https://herohealth.com/ is the device I use. There are a couple of competitors I also looked into, but this one held most meds and had the best app, in my opinion. Source: 11 months ago
Keep a close eye on her eating habits and food safety though because if she has dementia that will become an issue. Also if she's on any medication now, she will have trouble dosing it correctly. We used this for a while: https://herohealth.com/ but a normal pill dispenser filled up by you every week could also work. Source: about 1 year ago
I also suggest the Hero medicine dispenser. It’s a robot(ish) that holds up to 10 medications. You set the dispensing schedule on your phone. It makes a bunch of noise and sends a message to the person’s phone (maybe calls) to remind them to take their medication. You also can see how many pills they have remaining. The best part is that I know when my grandmother hasn’t taken her medicine. It messages me and I... Source: about 1 year ago
Mom was overdosing dad and he ended up with hyponatremia (low sodium in the blood) that nearly killed him. Based on someone's suggestion here, we got a Hero pill dispenser. All the meds are locked inside—you can control the schedule and adjust meds via an app, even receive alerts if a dose was missed, etc. I still had to write out instructions for mom (press the button) and I still get calls from her saying the... Source: over 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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