Guide for Linear Regression using Python – Part 2

Posted on 2 CommentsPosted in Machine Learning, Predictive Analysis

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 […]

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

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

Posted on Leave a commentPosted in Machine Learning, Predictive Analysis, 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 […]

Technology raise Food Allergy Awareness

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Dietary allergens are part of everyday life. There is no quick fix to eliminate them from our diet. Due to the nature of prevailing allergies, they are not confined to a specific minority or majority, they do not differentiate between ethnicity or gender and they do not show quarter when they target infant new-borns or the elderly. […]

Machine Learning Algorithms

10 groups of Machine Learning Algorithms

Posted on Leave a commentPosted in Data Analysis Resources, Machine Learning, Predictive Analysis

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 […]