Programming VIP

T-test is juxtaposed with f-test and chi square test, which is widely used in statistical analysis. T-test uses t-distribution theory to infer the probability of difference, so as to compare whether the difference between two averages is significant. The following compendium briefly shares the steps of realizing T-test in R and how to display ...

#coding:utf-8 #Import warnings package and use filter to ignore warning statements. import warnings warnings.filterwarnings('ignore') import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import missingno as msno ## 1) Load training set and test set; path = './' Train_data = pd.read_csv(path+'car_train_ ...

Full steps of Douban movie big data project 1. Douban reptile: When I started to write Douban TV series crawler, I thought it was very simple, but in practice, there was an IP sealing situation, which led to my distress for a long time, and now I finally wrote it No more nonsense, just go to the code: The run function is ...

Author: Han Xinzi@ShowMeAITutorial address: http://www.showmeai.tech/tutorials/33Article address: http://www.showmeai.tech/article-detail/150Notice: All Rights Reserved. Please contact the platform and the author for reprint and indicate the sourceIn the previous tutorial, we saw the flexible operation of pandas for data analysis, but at the sa ...

Visualization helps to explain and understand the internal structure of deep learning model. Through the visualization of the model calculation diagram, we can find out how the neural network is calculated. The visualization of the model mainly includes the following aspects: How many layers does the model haveInput and output shapes of each l ...

1. Data cleaning 1.1. What is data cleansing Data cleaning – the process of re examining and verifying data to remove duplicate information, correct existing errors, and provide data consistency. From the name of data cleaning, we can see that it is to "wash away" the "dirty", which refers to the last procedure ...

Style of markers and lines import plotly.io as pio import plotly.express as px import plotly.graph_objects as go from plotly.subplots import make_subplots import pandas as pd import numpy as np # Set plot default theme pio.templates.default = 'plotly_white' # Set pandas to display all columns when printing pd.set_option('display.max_columns' ...

1. Draw dynamic line chart . 1.1 draw a dynamic broken line diagram that does not start when the ， x-axis coordinate is 0 ， import os import numpy as np import matplotlib.pyplot as plt import imageio # The number of generated values is between 40 and 50 y = np.random.randint(25,40,size = 50) # Draw polylines plt.plot(y) # Sets the minimum a ...

In this article, we will pay special attention to time series prediction. We will use three time series models, which are super store data sets (retail industry data) built in python. We will use Jupiter notebook to build our python code and then move to Tableau. The purpose of this article is to demonstrate how to integrate the model with Ta ...

ssd1306OLED Chinese display - micropthon-esp32 - using GB2312 font library (non manual mold taking) preface: Ah, in order to make my * * "mobile phone abstinence device" (the functions of each subsystem of this project are about to be completed!)** I've really paid too much for this OLED with more than ten yuan. Baidu couldn't f ...