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Summer School of Research Methods 2019
Summer School of Research Methods Have you heard about the Big Bone and Big Data? … bear with us, these things have something in common and that is the Summer School of Research Methods, which happened in the longest week of the year, near one of the highest peaks in Bulgaria. Just let us tell […]
Data Science Conference is looking for inspiring Speakers and Tutors
Data Science Conference, one of the biggest conferences dedicated to data science in Europe, will be held for 5th annual time on 19-20 November in Belgrade. The Conference team is looking for inspirational individuals who would like to become a part of their Speakers and Tutors team. For this year they have planned to organize […]
Meetup Recap: ML by Students – AI Hackathon Solutions
This month Meetup was entirely devoted to the students who have implemented machine learning algorithms for developing interesting AI solutions during Hackathons (a weekend-long intense competition for programming). At such hack marathons, most of the participants are developing their applications and prototypes without much sleep but with much passion to turn their idea into reality. […]
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Exploring Financial Distress part 2
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
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 […]
Roles and Responsibilities of a Tableau Developer
The roles and responsibilities of a Tableau Developer include data analysis, data visualization, creating Business Intelligence reports, and help in improving business processes.