Explore >> Select a destination
|
You are here 
|
www.nyckel.com | ||
| | | | |
polukhin.tech
|
|
| | | | | This post will visually describe the problem of understanding of such concepts as Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC, which are part of the development of any classification, detection, segmentation, etc. tasks in machine learning. All the images were created by the author. | |
| | | | |
www.listendata.com
|
|
| | | | | This article outlines precision recall curve and how it is used in real-world data science application. It includes explanation of how it is different from ROC curve. It covers implementation of area under precision recall curve in Python, R and SAS. | |
| | | | |
antoinevastel.com
|
|
| | | | | How to automatically explore a bot/proxy IP blocklist and extract statistics using Git-python and Matplotlib. | |
| | | | |
www.jeremymorgan.com
|
|
| | | Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. | ||
