Read S&P 500 list of companies from Wikipedia and retrieve stock data using yfinanceLoad the list of S&P 500 companies from Wikepediaimport pandas as pd def load_data(url): html = pd.read_html(ur2024-02-24 Quantitative Investmentpandas seaborn yfinance matplotlib
Coordinates projection with PythonCoordinates reference system tells Python how the coordinates related to places on the Earth, different coordinates proj2024-02-22 Data Visualizationgeopandas contextily pyproj shapely
Create 3D figure using matplotlibImport Python modulesimport numpy as np import matplotlib.pyplot as plt from mpl_toolkits import mplot3d Create a 3D ca2024-02-18 Data Visualizationnumpy matplotlib
Read Online Dataset and Make Geographical VisualizationData PreparationStatistisk sentralbyrå (SSB) is the Norwegian statistics bureau, it publishes about 1000 new statistical2024-02-14 Data Visualizationpandas geopandas contextily
Visualize GPS data in PythonData PreparationGPS data visualization is useful especially the data contains extra information besides the coordinates,2024-02-06 Data Visualizationfolium plotly GPS
Confusion matrix and its metricsData preparationFetch MNIST dataset which contains a set of 70,000 small images of digits handwritten by high school stu2024-02-02 Machine Learningnumpy sklearn matplotlib
Analysis with text and categorical attributes or labelsData PreparationThe widely used dataset: California Housing Prices to note down several ways to handle text and categori2024-01-31 Data Analysisnumpy pandas sklearn
Feature scaling using Scikit-LearnData PreparationThe widely used dataset: California Housing Prices to note down two ways to apply one of the most import2024-01-29 Machine Learningpandas seaborn sklearn matplotlib
Imputation of missing values using Scikit-LearnData PreparationThe widely used dataset: California Housing Prices to note down two ways to handle missing values in dat2024-01-24 Data Analysispandas seaborn sklearn
Exams Correlations in the DatasetData PreparationWe are going to use a widely used dataset: California Housing Prices to note down two common ways to ill2024-01-23 Data Analysispandas matplotlib
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 im2024-01-21 Machine Learningkeras
Python中关于时间的处理方式Python中关于时间的处理方式由于时间是不同于一般数字的另外一种格式,如何处理包含日期在内的时间问题,和各种之间格式之间的转换在面对财务时间数据分析时特别重要,Python提供了多种时间处理方式,这份笔记简单记录这些方法。 datetim2021-12-20 Data Analysisnumpy pandas