Based on our record, Scikit-learn should be more popular than Enchant. It has been mentiond 29 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.
At Enchant (https://enchant.com): - We launched without billing. Early customers used the product for free until we eventually built out billing - We offer data imports from competitors. It's a semi-automated process - sometimes there's existing working code, sometimes it needs tweaking, sometimes it gets written as part of the process. Either way, it's a win if it helps someone make a purchase decision. - We... - Source: Hacker News / 8 months ago
We[0] use Ruby without Rails - Sinatra for the most part. I started the codebase over a decade ago now, and at the time Rails felt a little heavy (inline with your comments). That said, Rails does let you get started pretty quickly without needing much of anything else. Rails has more magic. If you prefer less magic, then Sinatra is the way. https://enchant.com. - Source: Hacker News / over 1 year ago
For our own SaaS[0], we provide a timed trial. But we regularly provide trial extensions because reality of business is that it takes time to get everybody on board and onboarded. Reading this post, I suspect '30 days of use' would result in less 'please extend the trial' emails and would mean less friction during the trial. However, there is a tradeoff: when somebody reaches out for a trial extension, it may be... - Source: Hacker News / almost 2 years ago
In the space we[1] operate, there's no shortage of competitors. Over the years, I've seen that those who can unlock marketing see a lot more success, even with a shittier product. As a developer-turned-founder, a lot of marketing feels sleazy. Was it always this way? So much link-bait, fluffy posts that are really big ads, shallow content just for SEO, upvoting-rings on platforms, etc. There's so few who seem to... - Source: Hacker News / over 2 years ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 13 days 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 / 4 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 / about 1 year 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
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
OpenCV - OpenCV is the world's biggest computer vision library
HelpScout - Help Scout is a simple, straightforward way to provide excellent support
NumPy - NumPy is the fundamental package for scientific computing with Python