Text Analytics in the Healthcare Industry: Data Warehousing and Applications
Data Analysis Resources, Predictive Analysis

Text Analytics in the Healthcare Industry: Data Warehousing and Applications

Abstract— Text analytics is the method of extracting information from text. It involves structuring the text to evaluate, discover patterns and interpret the output. It enhances meaning to data and finds nuggets of information from both transaction-based and decision support systems by removing the barrier between structured and unstructured data. Analysis of text data helps to discover new relationships from…

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Machine Learning, Predictive Analysis

Guide for Linear Regression using Python – Part 2

Guide for Linear Regression using Python – Part 2 This blog is the continuation of guide for linear regression using Python from this post. There must be no correlation among independent variables. Multicollinearity is the presence of correlation in independent variables. If variables are correlated, it becomes extremely difficult for the model to determine the true effect of X on…

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Predicting NBA winners with Decision Trees and Random Forests in Scikit-learn
Machine Learning, Predictive Analysis, scikit-learn

Predicting NBA winners with Decision Trees and Random Forests in Scikit-learn

In this blog, we will be predicting NBA winners with Decision Trees and Random Forests in Scikit-learn.The National Basketball Association (NBA) is the major men’s professional basketball league in North America and is widely considered to be the premier men’s professional basketball league in the world. It has 30 teams (29 in the United States and 1 in Canada). The data…

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Machine Learning Algorithms
Data Analysis Resources, Machine Learning, Predictive Analysis

10 groups of Machine Learning Algorithms

In this article, I grouped some of the popular machine learning algorithms either by learning or problem type. There is a brief description of how these algorithms work and their potential use case. Regression How it works: A regression uses the historical relationship between an independent and a dependent variable to predict the future values of the dependent variable. It…

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Kaggle, Predictive Analysis, scikit-learn

Features selection for determining House Prices ?

Home values are influenced by many factors. Basically, there are two major aspects: The environmental information, including location, local economy, school district, air quality, etc. The characteristics information of the property, such as lot size, house size and age, the number of rooms, heating / AC systems, garage, and so on. When people consider buying homes, usually the location has…

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