Apriori Algorithm (Python 3.0)
Apriori Algorithm The Apriori algorithm principle says that if an itemset is frequent, then all of its subsets are frequent.this means that if {0,1} is frequent, then {0} and {1}…
Benefits and Challenges of Business IT/IS alignment
What business IT/IS alignment is There is no universal definition for IT/IS Alignment. It is the process that brings a degree of strategic intent and coordination to the business activities.…
Principal Component Analysis in scikit-learn
Principal Component Analysis (PCA) is an orthogonal linear transformation that turns a set of possibly correlated variables into a new set of variables that are as uncorrelated as possible. The…
Key factors influencing the emergence of Disruptive Technologies
According to Barlow and Li (2007), the three key factors influencing the emergence of disruptive technologies and applications are as follows: The advancement and convergence of computing, telecommunications and media…
Naiive Bayes in scikit-learn
Naïve Bayes is a simple but powerful classifier based on a probabilistic model derived from the Bayes' theorem. Basically it determines the probability that an instance belongs to a class…
Decision Trees in scikit-learn
Decision trees are very simple yet powerful supervised learning methods, which constructs a decision tree model, which will be used to make predictions. The main advantage of this model is…
Support Vector Machine in scikit-learn
Support Vector Machines has become one of the state-of-the-art machine learning models for many tasks with excellent results in many practical applications. One of the greatest advantages of Support Vector…
Regression in scikit-learn
We will compare several regression methods by using the same dataset. We will try to predict the price of a house as a function of its attributes. In [6]: import numpy…
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