Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
The Breakfast
LetsLunch
Quarantine Together
Over a call
Cheerio
humit
Chatous
JustConnect
Scikit-learn The BreakfastBased on our record, Scikit-learn seems to be a lot more popular than The Breakfast. While we know about 29 links to Scikit-learn, we've tracked only 2 mentions of The Breakfast. 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 / 19 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
This is the reason why I'd like to share The Breakfast here — an app that introduces two people to meet and talk over breakfast. It’s not dating or networking. It’s just breakfast. Source: over 1 year ago
Hi, I know everyone is different, but we are building an app specifically for meeting new people — it's a nice well designed space for creatives to meet and talk with someone new over breakfast https://thebreakfast.app/. Source: over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
LetsLunch - Do more with your lunch hour. Meet new people.
OpenCV - OpenCV is the world's biggest computer vision library
Quarantine Together - Meet new people virtually and stay connected in quarantine
NumPy - NumPy is the fundamental package for scientific computing with Python
Over a call - Meet new people every week over 10 min calls