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Reference: author's Jupyter NotebookChapter 2 – End-to-end Machine Learning project Generate picture and savefrom __future__ import division, print_function, unicode_literals import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt import os np.random.seed(42) mpl.rc('axes', labelsize=14) mpl.rc('xtick', labelsize=12) mpl.r ...

Naive Bayes The joint probability P(A,B) = P(B|A)*P(A) = P(A|B)*P(B) combines the two equations on the right to get the following formula: P (a| b) indicates the probability of a in the case of B. P(A|B) = [P(B|A)*P(A)] / P(B) Let's have A visual understanding of this formula. As shown in the figure ...

Article Directory 1 Data analysis 1.1 First look at what the data looks like 1.2 Continuous and categorical variables 1.3 Number of attributes in categorical variables 1.4 Compensation value 1.5 Continuous Variable Characteristics 1.6 Correlation between features 2 Xgboost 2.1 Data Preprocessing 2.2 ...

Article directory 1. Preface 2. Introduction to Matplotlib 3. installation 4. Drawing basis 4.1 plot() function 4.1.1 Chinese display 4.1.2 text display 5. Drawing of common charts 5.1 histogram 5.1.1 simple example 5.1.2 function definition 5.1.3 histogram of normal distribution 5.2 pie chart ...

When building a house, the choice of wood is a problem. A carpenter's goal is essentially to carry a good cutting tool. When he has time, he sharpens his equipment. {-:} - Miyamoto Musashi (wulunshu) This article is excerpted from Chapter 2 of Python big data analysis (version 2) For new Python users, ...

This paper mainly shares the splitting, extracting and merging of text data to prepare for the next visual analysis. The data comes from the employment information of boss and dragnet data analysis positions, totaling 9458. The crawling methods of the pull-hook are as follows: Python selenium+beautifuls ...

Python scientific calculation simply records several notes, uses SciPy to solve ordinary differential equations, and uses matplotlib to demonstrate in jupyter notebook. The following points need to be noted: odeint function provided by integration module On jupyter notebook of Anaconda 3 matplotlib 2D drawing to solve Newton's cooli ...

It takes a lot of time to download many kinds of software when building containers. hub.docker.com is slow in nature, especially when it encounters modules stored on gcr.io/aws and so on. pip installation of python module is also slow, and the download of conda is like a snail. There are several ways to speed up the download of container const ...

Advanced Neural Network Experimental environment keras 2.1.5 tensor 1.4.0 Experimental tools Jupyter Notebook Experiment 1: MNIST generates antagonistic networks thinking Train two models, one to generate a given random noise as input output example G, and one to identify the generated m ...

After the GlusterFS distributed storage system was migrated in a previous period of time, the phenomenon of dropping lines and intermittent happened frequently, which made it unable to work properly for a long time.Observations revealed that one of the nodes was always restarting, further revealing that only one of the four nodes in the replica ...