Reamaze
Freshdesk
Intercom
HelpScout
LiveAgent
LiveChat
Zoho Desk
Zendesk
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Re:amaze is a complete customer service and helpdesk platform with all the tools you need to efficiently manage and deliver awesome experiences. Thousands of brands around the world use Re:amaze to help customers on a daily basis using our email, social media, live chat, SMS, VOIP, and FAQ knowledge base features.
With over 800 5-star reviews on Google, G2 Crowd, Alternative-To, Capterra, Crozdesk, Shopify, and BigCommerce, Re:amaze is the winner of G2 Crowd’s Top Performer, Leadership, and Best Experience Awards 3 years running and named as one of the fastest growing SaaS companies in the United States by Latka 100 in 2018.
Re:amaze
Reamaze Scikit-learnNo Reamaze videos yet. You could help us improve this page by suggesting one.
Based on our record, Scikit-learn seems to be a lot more popular than Reamaze. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Reamaze. 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.
ABOUT: Full-Stack Software Engineer with 9 years of experience working with companies like Shogun (https://getshogun.com) (YCombinator W18), Re:amaze (https://reamaze.com) (Acq. By GoDaddy), Gametime (https://gametime.co), DigitalClipboard (https://digitalclipboard.com), Ministry of Health of Georgia. - Source: Hacker News / about 3 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 / 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: 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
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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
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