Based on our record, Scikit-learn should be more popular than TaskRabbit. It has been mentiond 28 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.
Set up an account on taskrabbit.com or similar and refer them to continue from there. If the market is dead, I'd certainly take it. Source: 12 months ago
Maybe taskrabbit.com, I'm sure there are competitors now too. Source: about 1 year ago
There is a website called taskrabbit.com that tries to put people who need small stuff done with people who can do it. Need someone to wait in line for you? Check the site. Someone to put together a IKEA desk? Check the site. Source: about 1 year ago
Possibly checkout taskrabbit.com or fiverr. Com - you can sell your services through them. Source: over 1 year ago
Heya! I do a lot of this, doing BRRRRs in 2 markets out of state, and not visiting them (by design). 1. GC - first layer of management 2. Agent - to check in on property 1-2 times every 2 weeks, no management responsibilities 3. 3rd party - I hire someone local who ISNT being paid by the transaction (GC/Agent) to go in the property and take 140 pictures and upload them to me or our remote team directly. This... Source: almost 2 years ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months 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 / 12 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: about 1 year 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: about 1 year 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
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