Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Macarons
Donut Slack Bot
Catchup Rocks
Snack Slack Bot
Coffee Chat Slack
ASCII Roulette
Loqbooq
RandomCoffee
Meet random people from your organization for a coffee with macarons or for a quick video call. Get to know your colleagues better and maybe even make new (work) friends.
🧁 Quick and Easy
Just add the Macarons app to a Slack channel and it will automatically pair off random members for (virtual) coffees.
🎰 Control the Odds
For each channel you can control how often and when chat lotteries happen, as well as how many people should be matched together.
🧊 Ice Breakers
Let Macarons get conversations started with predefined ice breakers or set your own custom topics for each round.
🏖 Take a skip day
Independent of a channels meeting interval, each user can always individually pause their participation or decide to only take part every other time.
Scikit-learn MacaronsBased on our record, Scikit-learn seems to be a lot more popular than Macarons. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of Macarons. 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 / 4 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
It took us a few months (I think it was 4) but now we released Macarons. After adding Macarons to the workspace you have to invite it to a channel and then can configure how often people of that channel are matched. Additionally you can specify how big the match groups should be and everyone participating can adjust their participation rate. That's basically it. Since Macarons is not over-boarded with features we... Source: about 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Donut Slack Bot - Get matched with a new coffee buddy each week in Slack
OpenCV - OpenCV is the world's biggest computer vision library
Catchup Rocks - Virtual coffee / watercooler chats for Slack.
NumPy - NumPy is the fundamental package for scientific computing with Python
Snack Slack Bot - We organize spontaneous, time-restricted video conversations with ice-breakers. Distributed teams use Snack to build authentic relationships, promote collaboration and share knowledge within Slack.
