Sup! Standup Bot VS Scikit-learn
Compare Sup! Standup Bot VS Scikit-learn and see what are their differences
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
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Sup! Standup Bot
Geekbot
Standuply
Standup Bot
Project Burndown
Hive
Asana
Basecamp
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
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The best standup bot for keeping your team on track during daily async standup meetings. Sup can facilitate a standup meeting, retrospective meeting, or other meetings asynchronously for your team using either a chat-based interface or a dialogue window.
Conduct standups & follow-ups: Sup provides team standup updates. You can see how everything works with direct questions and answers. Asynchronous standups and multiple follow-ups are a click away.
Vacation Tracker: Request, approve, view, and manage vacations with Sup. Holiday tracking is easy with regular updates and a dashboard of employee holiday analytics.
Create surveys & polls: Remote working can become a lot easier when you can make quick decisions based on surveys and quick polls. Make it simple for your team to voice their opinions.
Track team mood: Sup? Is that what you want to ask your team? Using mood tracking, understand your team's emotions. To gauge team morale, use it with a follow-up like standups. The anonymity of responses allows for honest answers.
Integrations: Sup x GoogleSheets. Sup integrates with Google Sheets to create a new Google Sheet file at the end of every month and sync the follow-up responses. Trusted by small and big-leaguers like Iterable, Adobe, PWC, Stripe, MailChimp, Starbucks, Mixpanel, Dell, Warner Bros, Wise, Perceptyx, Udaan, and more.
Sup! Standup Bot Scikit-learnNo features have been listed yet.
We use Sup bot extensively in our team to facilitate standup, End-of-day follow-ups, holiday tracking - all without leaving Slack.
Based on our record, Scikit-learn seems to be more popular. 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.
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 / 5 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 / 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 / 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
Geekbot - Discover how to organise asynchronous stand up meetings in Slack and keep your team synced using Geekbot. Start your free trial today!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Standuply - Run daily standup meetings and track your metrics in Slack
OpenCV - OpenCV is the world's biggest computer vision library
Standup Bot - An easy to use bot that automates your team’s standups, check-ins or any kind of recurring status update meetings, without breaking the bank.
NumPy - NumPy is the fundamental package for scientific computing with Python