Fiverr VS Scikit-learn

Fiverr Reviews

Scikit-learn Reviews

Fiverr mentions (13)

• Navigating Remote Opportunities for Engineers and Tech Leaders

  Fiverr - Great for starting your freelance journey. - Source: dev.to / 5 months ago

• Any place to get laptop cases or get them made? (Think phone-style hard-cases)

  I think something 3D printed is your best bet. Go to fiverr.com or some other website and find someone to design it and find a 3D printing station near you. Source: 10 months ago

• This side gig has worked for me in the last 4/5 months and still bringing in $300 to $500 per week.

  Take that design and find a designer on fiverr.com that would create a design that's similar to what you picked from Dribbble. Try to find someone that would cost you somewhere between $100 and $150 (you can get nice designs at that price). Source: about 1 year ago

• A Guideline for Emerging Data Scientists

  8) Be on a look out for the job listings. LinkedIn is a really good platform. Similarly, another excellent source is Glassdoor, which has a plethora of ads for jobs in data science, machine learning and other related fields. For freelancing career, Upwork, Fiverr, Freelancer , and Toptal provide a good framework. - Source: dev.to / over 1 year ago

• June Earnings Report (£735.64)

  Fiverr (ref-link) non-ref 'connects businesses with freelancers offering digital services in 300+ categories'. Source: over 1 year ago

Scikit-learn mentions (27)

• Link Prediction With node2vec in Physics Collaboration Network

  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

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Help on using R for Machine Learning?

  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

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  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