01 2021 档案
摘要：Security and Cryptography in Python - Attack on Caesar Cipher Crypto Rule #1(Kerckhoffs' Principle) Eve should not be able to break the ciphers even w
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摘要：Security and Cryptography in Python - Caesar Cipher Decryption Coding in Python def generate_key(n): letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" key = {} c
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摘要：Security and Cryptography in Python - Caesar Cipher Coding in Python def generate_key(n): letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" key = {} cnt = 0 for
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摘要：Python for Data Science - Next Steps Network analysis using Python Deep learning, reinforcement learning, semi-supervised learning Start practicing Co
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摘要：Chapter 6 - Other Popular Machine Learning Methods Segment 6 - Ensemble methods with random forest Ensemble Models Ensemble models are machine learnin
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摘要：Chapter 6 - Other Popular Machine Learning Methods Segment 5 - Naive Bayes Classifiers Naive Bayes Classifiers Naive Bayes is a machine learning metho
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摘要：Python for Data Science - Decision Trees With CART Decision Tree A decision tree is a decision-support tool that models decisions in order to predict
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摘要：Chapter 6 - Other Popular Machine Learning Models Models Segment 3 - Instance-based learning w/ k-Nearest Neighbor K-Nearest Neighbor Classification A
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摘要：Chapter 6 - Other Popular Machine Learning Methods Segment 2 - A neural network with a Perceptron Perceptron A perceptron is a neural network with jus
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摘要：Chapter 6 - Other Popular Machine Learning Methods Segment 1 - Association Rule Mining Using Apriori Algorithm Association Rule Mining Association rul
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摘要：Chapter 5 - Dimensionality Reduction Methods Segment 2 - Principal component analysis (PCA) Singular Value Decomposition A linear algebra method that
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摘要：Chapter 5 - Dimensionality Reduction Methods Segment 1 - Explanatory factor analysis Factor Analysis A method that explores a data set in order to fin
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摘要：Chapter 4 - Clustering Models Segment 3 - DBSCan clustering to identify outliers DBSCAN for Outlier Detection Unsupervised method that clusters core s
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摘要：Chapter 4 - Clustering Models Segment 2 - Hierarchical methods Hierarchical Clustering Hierarchical clustering methods predict subgroups within data b
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摘要：Chapter 4 - Clustering Models Segment 1 - K-means method Clustering and Classification Algorithms K-Means clustering: unsupervised clustering algorith
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摘要：Chapter 3 - Regression Models Segment 3 - Logistic regression Logistic Regression Logistic regression is a simple machine learning method you can use
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摘要：Chapter 3 - Regression Models Segment 2 - Multiple linear regression import numpy as np import pandas as pd import matplotlib.pyplot as plt from pylab
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摘要：Chapter 3 - Regressoin Models Segment 1 - Simple linear regression Linear Regression Linear regression is a statistical machine learning method you ca
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摘要：Python for Machine Learning Python for Data Visualization Libraries Matplotlib Seaborn ggplot GraphX Plotly Functions Exploratory data analysis Data s
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摘要：Chapter 7 - Collaborative Analytics with Plotly Segment 2 - Creating statistical charts Setting up to use Plotly within Jupyter import numpy as np imp
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摘要：Chapter 7 - Collaborative Analytics with Plotly Segment 1 - Creating basic charts Setting up to use Plotly within Jupyter pip install --default-timeou
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摘要：Chapter 6 - Data Sourcing via Web Segment 5 - Introduction to NLP import nltk text = "On Wednesday, the Association for Computing Machinery, the world
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摘要：Chapter 6 - Data Sourcing via Web Segment 4 - Web scraping from bs4 import BeautifulSoup import urllib.request from IPython.display import HTML import
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摘要：Chapter 6 - Data Sourcing via Web Segment 3 - Data parsing from bs4 import BeautifulSoup import urllib import urllib.request import re with urllib.req
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摘要：Chapter 6 - Data Sourcing via Web Part 2 - NavigatableString Objects import sys print(sys.version) 3.7.3 (default, Jul 25 2020, 13:03:44) [GCC 8.3.0]
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摘要：Chapter 6 - Data Sourcing via Web Part 1 - Objects in BeautifulSoup import sys print(sys.version) 3.7.3 (default, Jul 25 2020, 13:03:44) [GCC 8.3.0] f
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摘要：Chapter 5 - Outlier Analysis Segment 9 - Multivariate analysis for outlier detection import pandas as pd import matplotlib.pyplot as plt from pylab im
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摘要：Chapter 5 - Outlier Analysis Segment 8 - Extreme value analysis using univariate methods import numpy as np import pandas as pd import matplotlib.pypl
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摘要：Chapter 5 - Basic Math and Statistics Segment 7 - Transforming dataset distributions import numpy as np import pandas as pd import scipy import matplo
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摘要：Chapter 5 - Basic Math and Statistics Segment 6 - Delving into non-parametric methods using pandas and scipy import numpy as np import pandas as pd im
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摘要：Chapter 5 - Basic Math and Statistics Segment 5 - Starting with parametric methods in pandas and scipy import pandas as pd import numpy as np import m
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摘要：Chapter 5 - Basic Math and Statistics Segment 4 - Summarizing categorical data using pandas import numpy as np import pandas as pd The basics address
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摘要：Chapter 5 - Basic Math and Statistics Segment 3 - Generating summary statistics using pandas and scipy import numpy as np import pandas as pd from pan
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摘要：Chapter 5 - Basic Math and Statistics Segment 2 - Multiplying matrices and basic linear algebra import numpy as np from numpy.random import randn np.s
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摘要：Chapter 5 - Basic Math and Statistics Segment 1 - Using NumPy to perform arithmetic operations on data import numpy as np from numpy.random import ran
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摘要：Chapter 4 - Practical Data Visualization Segment 6 - Creating statistical data graphics Statistical Plots Allow Viewers To: Identify outliers Visualiz
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摘要：Chapter 4 - Practical Data Visualization Segment 5 - Visualizing time series import numpy as np from numpy.random import randn import pandas as pd fro
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摘要：Chapter 4 - Practical Data Visualization Segment 4 - Creating labels and annotations import numpy as np import pandas as pd from pandas import Series,
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摘要：Chapter 4 - Practical Data Visualization Segment 3 - Plot formatting import numpy as np import pandas as pd from pandas import Series, DataFrame impor
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摘要：Chapter 4 - Practical Data Visualization Segment 2 - Defining elements of a plot import numpy as np from numpy.random import randn import pandas as pd
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摘要：Chapter 4 - Practical Data Visualization Segment 1 - Creating standard data graphics import numpy as np from numpy.random import randn import pandas a
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摘要：Python for Data Science - Data Visualization Three Different Data Visualization Types Data storytelling - for presentations to organizational decision
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摘要：Chapter 2 - Data Preparation Basics Segment 5 - Grouping and data aggregation import numpy as np import pandas as pd from pandas import Series, DataFr
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摘要：Chapter 2 - Data Preparation Basics Segment 4 - Concatenating and transforming data import numpy as np import pandas as pd from pandas import Series,
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摘要：Chapter 2 - Data Preparation Basics Segment 3 - Removing duplicates import numpy as np import pandas as pd from pandas import Series, DataFrame Removi
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摘要：Chapter 2 - Data Preparation Basics Segment 2 - Treating missing values import numpy as np import pandas as pd from pandas import Series, DataFrame Fi
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摘要：Chapter 2 - Data Preparation Basics Segment 1 - Filtering and selecting data import numpy as np import pandas as pd from pandas import Series,DataFram
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摘要：Windows Command Line - Memory Management How to use Systeminfo systeminfo Windows Management Interface(WMI) wmic memorychip Get-WmiObject CIM_PHYSICAL
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