What is Descriptive Statistics?

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What is Statistics? The availability of data is a massive boon in today’s world. The greatest challenge is, however, to analyze it for our needs. It is essential to understand and describe the data to evaluate the extensive resources of the data. We can explain data using different methods. Statistics, the mathematics branch, assist us […]

DSS 2020 Review

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This is a short review of the thing we were up to in 2020. This is an year of epidemics and economic crisis, this has caught the whole wolds including us unprepared by definition a black swan event. Volunteering The organization is now entirely a volunteer group, all of our members are doing things to […]

General Guidelines for posting on the site when we aren’t conducting a datathon.

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Our website is a platform that collects content on topic regarding the data science, machine learning, statistics, mathematics, quantitative science,¬† science¬† and adjacent domains. Multiple article can be published. The articles are in English to make it international. If you aren’t using it for commercial purposes posting if free. Here are the rules for posting: […]

Exploring Financial Distress part 2

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Libraries Used¶Authors:¶Team 4: Stephen Panev Marin St Dayana Hristova Dimitar Lyubchev In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import matplotlib.pyplot as plt from statsmodels.stats.outliers_influence import variance_inflation_factor from pycaret.classification import * Read the data and data prep¶We are using the financial distress data of companies. This […]

Exploring Financial Distress

Posted Leave a commentPosted in Finance

Libraries Used¶Authors:¶Team 4: Stephen Panev Marin St Dayana Hristova Dimitar Lyubchev In [94]: %matplotlib inline In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler from sklearn.preprocessing import PolynomialFeatures from sklearn.pipeline import Pipeline from sklearn.linear_model import LogisticRegression from sklearn.metrics import accuracy_score […]