### Goes using the oversampling method make any sense?

290520200955 When we have a very unbalanced set, each classification model is good – that is, it has excellent parameters. Unfortunately, it depends on whether […]

290520200955 When we have a very unbalanced set, each classification model is good – that is, it has excellent parameters. Unfortunately, it depends on whether […]

Perfect Plots: Bubble Plot [definitions] In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np Autos¶ Source of data: https://datahub.io/machine-learning/autos In [2]: df2= […]

281120190000 Source of data: https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant Combined Cycle Power Plant Data Set¶ Data Set Information:¶ The dataset contains 9568 data points collected from a Combined Cycle […]

100420201543 In [1]: import joypy import pandas as pd import matplotlib.pyplot as plt Car market analysis¶ Source of data: https://github.com/selva86/datasets/blob/master/mpg_ggplot2.csv GSuite Text and Background Palette: […]

280320200859 data source: https://archive.ics.uci.edu/ml/datasets/Air+Quality In [1]: import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn.preprocessing import LabelEncoder, […]

In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np Autos Source of data: https://datahub.io/machine-learning/autos In [2]: df2= pd.read_csv(‘c:/1/autos.csv’) df2.head() Out[2]: Unnamed: […]

In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np Economics In [2]: df=pd.read_csv(‘c:/1/economics.txt’) df.head() Out[2]: date pce pop psavert uempmed unemploy […]

Energy Source of data: https://github.com/pyviz/holoviews/blob/master/examples/assets/energy.csv In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np In [2]: df=pd.read_csv(‘c:/2/Energy.csv’) df.head() Out[2]: Unnamed: 0 Date […]

In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np import matplotlib.patches as mpatches Car statistics In [2]: # Prepare Data df = […]

Global market sales Source of data: https://github.com/vkrit/data-science-class/blob/master/WA_Fn-UseC_-Sales-Win-Loss.csv In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np import seaborn as sns df […]

In [1]: import pandas as pd import matplotlib.pyplot as plt import numpy as np import matplotlib.patches as mpatches Titanic disaster Source of data: https://www.kaggle.com/shivamp629/traincsv In [2]: […]

In [1]: import scipy.cluster.hierarchy as shc import pandas as pd import matplotlib.pyplot as plt # Import Data df = pd.read_csv(‘c:/1/USArrests.csv’) USArrests Source of data: https://www.kaggle.com/deepakg/usarrests […]

In [1]: import matplotlib as mpl import calmap import pandas as pd import matplotlib.pyplot as plt yahoo In [2]: df = pd.read_csv(‘c:/1/yahoo.txt’, parse_dates=[‘date’]) df.set_index(‘date’, inplace=True) df.head(3) […]

Dendrograms is used to count number of clusters. Dendrogram works on the distance between point of dataframe. In [ ]: import scipy.cluster.hierarchy as shc import pandas as […]

In [1]: import numpy as np import pandas as pd import seaborn as sns from sklearn.preprocessing import LabelEncoder import matplotlib.pylab as plt from pylab import […]

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