Abot for Slack
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It is a simple Slack app allowing you to submit an honest and confidential feedback.
Whoever receives a feedback can reply to it without knowing who is the author. The author can reply back anonymously, or decide to reveal his identity.
Slack team admins can disable direct private anonymous messages or even limit Abot usage to set of whitelisted channels or permitted users group.
Create polls and allow your colleagues to vote and discuss them anonymously.
You can use to it do an anonymous AMA with your boss or just for kicks on a seperate channel.
Abot is the best way to add a customizable layer of anonymous communication on top of the Slack platform.
Abot for Slack Scikit-learnNo Abot for Slack videos yet. You could help us improve this page by suggesting one.
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 / 23 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
botwick - Build your own SMS-based text bot
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
MutexBot - Keep track of your shared resources in Slack
OpenCV - OpenCV is the world's biggest computer vision library
Estherbot - Transform your resume into a bot.
NumPy - NumPy is the fundamental package for scientific computing with Python