Category: Machine Learning

This page contains short machine learning tutorials. However, very informative on the basics needs for someone learning the model, and tricks for someone more experienced. The lessons target machine learning with python, algorithms, pattern recognition, random forest classifier, regression, random forest explained, feature importance, etc.

Machine Learning

Painless Kmeans in Python – Step-by-Step with Sklearn

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This tutorial shows how to use k-means clustering in Python using Scikit-Learn which can be installed using bioconda.

Machine LearningPython

Simple R Squared Calculation in Python

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This short tutorial shows how to find the R squared value in Python using sklearn which can be useful when looking at the data correlation in …

Machine Learning

Painless Random Forest Regression in Python – Step-by-Step with Sklearn

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This tutorial demonstrates a step-by-step on how to use the Sklearn Python Random Forest package to create a regression model.

Machine Learning

Simple Near-duplicate String Detection with LSH

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This tutorial teaches you how to use Locality Sensitive Hashing (LSH) to detect near-duplicate sentences. Moreover, the task of identifying similar sentences is a common task …

Machine Learning

The 2 Most Important Use for Random Forest

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This tutorial demonstrates how to use the Sklearn Random Forest (a Python library package) to create a classifier and discover feature importance.

BioinformaticsData visualizationMachine Learning

Data Science Careers carving our professional paths

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Data science (or part of any of the data science careers) applies statistical procedures ranging from data transformations, data modeling, statistical and machine learning modeling, and …