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Notes based on the book hands on machine learning with scikit learn, keras & tensorflow 2.5 data preparation of machine learning algorithm After the previous analysis, we can start to prepare the data required for machine learning algorithm training. We use functions to execute the whole process instead of manual, which has the followi ...

Record the process of machine learning git clone problem git config --global http.lowSpeedLimit 0 git config --global http.lowSpeedTime 999999 git config --global http.postBuffer 50024288000 On January 15, 2020, in order to prepare for the re examination of Xidian and complete the machine learning, since the undergraduate has not studied and ...

catalogue 1, Definitions and formulas 1. Decision tree 2. Anomaly Detection 3. Principal component analysis PCA 2, Code practice 1. Decision tree: Iris iris Iris data classification 2. Anomaly detection 2.1} visualize the probability density function of Gaussian distribution 2.2} establish a model to realize the prediction of abnormal ...

Data cleaning Images made by yourself are prone to bad data (such as grayscale images, for example, CV2 can't read data, and there is no shape). The following code is directly: import os import tensorflow as tf from PIL import Image import matplotlib.pyplot as plt import numpy as np import cv2 import shutil from PIL import ImageFile Imag ...

Article catalog preface1, split() split and join() merge2, Small knowledge points 1. String resident mechanism and string comparison2. Common search methods3. String formatting4. Variable string5. Basic operators6. Sequence (very important): string, list, tuple, dictionary, set7. Addition and deletion of list elements8. Deletion of l ...

1 description of competition questions In real social networks, cheating users will affect the social network platform. In the real scene, there will be many constraints. We can only obtain a small number of cheating samples and a part of normal user samples. Now we need to use a small number of labeled samples to mine the remaining cheating s ...

matplotlib Data visualization 1. Brief introduction to Matplotlib There are two ways to draw images: one is object-oriented (displayed), using Figure and axes, and the other is directly using plot.plot (implicit) 1. Image composition Figure, the top level, is used to accommodate all drawing elementsAxes, which contains a large number of ele ...

[Pytorch] MNIST Image Classification Code-Ultra-detailed Interpretation Preface Recently, machine learning has increased dramatically among junior undergraduates, and the editor often sees his little buddy gnawing books in the study room. However, due to the lack of experience and guidance, the principle may be clear, but because many ...

1. General 1.1 how does the decision tree work Decision Tree is a nonparametric supervised learning method. It can summarize decision rules from a series of characteristic and labeled data, and present these rules with the structure of tree view to solve the problems of classification and regression. Decision tree algorithm is easy to un ...

1 Literature Reading Point Source Pollution (PSP) is a kind of water pollution caused by concentrated discharge of urban sewage and industrial wastewater. Non-point Source Pollution is the water pollution caused by pollutants entering the surface and groundwater in a wide, dispersed and trace form, including rainstorm runoff, atmospheric d ...