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Scikit-learn might be a bit more popular than Snap Map for Web. We know about 28 links to it since March 2021 and only 25 links to Snap Map for Web. 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.
If you go to the Snapchat map Snapchat map in that area, you can see the snaps. Source: almost 2 years ago
I just learned that you can view snap maps without having a Snapchat account/app (https://map.snapchat.com/) and it did help me realize how ignorant my assumptions about a lot of countries were. Source: about 2 years ago
I recently found out about this site while reading about Ukraine. Are there similar sites for Facebook, IG, Reddit, etc.? I'm interested mainly in seeing the rough number of users in my city of various social media sites for historical archiving. So far all I could find are basic stats like the total number of x or y platform users. A breakdown by city/state/province would be amazing. Source: about 2 years ago
Go to https://map.snapchat.com/ and zoom in on your area of interest. Source: over 2 years ago
SS: their leaders have been fairly laid back. Compared to fascist NZ, Austria, Austraila, Canada and even some large major cities in the US. But via https://map.snapchat.com/ and 4k walking videos. I noticed they have the highest mask compliance of anywhere in the world. Source: over 2 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 / 12 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: over 1 year ago
Snapchat Memories - Save and search for snaps on Snapchat
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pepperfilters - Pepper's Snapchat Geofilter creator allows you to easily create a custom snapchat geofilter for your birthday, wedding or event.
OpenCV - OpenCV is the world's biggest computer vision library
New Snapchat - The new Snapchat, redesigned to separate social from media
NumPy - NumPy is the fundamental package for scientific computing with Python