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Geospatial interpolation - K-nearest neighbors Geospatial interpolation - K-nearest neighbors
K-Nearest Neighbors (short as KNN) is a neighbor-based learning method that can be used for interpolation, in this case
2024-03-22
Geospatial interpolation - Thiessen Polygons Geospatial interpolation - Thiessen Polygons
Thiessen polygon, also called Voronoi diagram, is a partition of a plane into regions close to each of a given set of ob
2024-03-16
Confusion matrix and its metrics Confusion matrix and its metrics
Data preparationFetch MNIST dataset which contains a set of 70,000 small images of digits handwritten by high school stu
2024-02-02
Feature scaling using Scikit-Learn Feature scaling using Scikit-Learn
Data PreparationThe widely used dataset: California Housing Prices to note down two ways to apply one of the most import
2024-01-29
keras入门:第一个深度学习项目 keras入门:第一个深度学习项目
从Keras自带MNIST数据集中读取数据MNIST dataset, a large database of handwritten digits that is commonly used for training various im
2024-01-21