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Based on our record, Scikit-learn should be more popular than GSAK (Geocaching Swiss Army Knife). It has been mentiond 28 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.
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
You could load the caches into GSAK and export them to a .csv file which Excel can work with. Source: 6 months ago
The second step is https://gsak.net/index.php to download and use GSAK to sort the gpx file by owner name. It's a free to download, but there are A LOT of options to choose from. Fear not!, because the default settings are pretty much all you'll need. There are probably quite a few utilities out there that will work just as well as GSAK and be a lot easier to use so let's see if anyone can suggest one of those. Source: 12 months ago
If you do find yourself planning ahead, rather than copy coords down, you can use GSAK (on a computer) to collect the info on the caches you want to look for, then export that as a .gpx file, and save it to your phone and open it with whatever geocaching app you choose to use. Source: about 1 year ago
Look for apps that target geocachers. For example - GSAK (https://gsak.net/index.php). Source: almost 2 years ago
It's an application which has a lot of uses. https://gsak.net/index.php. Source: almost 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.
Geocaching - Geocaching is the premier app for locating geocaches. This app is available for both the Android and iOS platforms, and it makes locating these popular hidden treasures easy and fun.
OpenCV - OpenCV is the world's biggest computer vision library
iCaching - iCaching is the all-in-one Geocache manager for the Mac.
NumPy - NumPy is the fundamental package for scientific computing with Python
c:geo - c:geo is simple yet powerful unofficial geocaching client for Android devices.