Comparison of model selection methods for Boston dataset
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Updated
May 7, 2018 - R
Comparison of model selection methods for Boston dataset
Mind Foundry OPTaaS R Client
Simple python implementation of Approximate Bayesian Computation for Model Choice
Text Classification / Sentiment Analysis with Machine Learning
Use decision trees to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
The best model is determined using PCA evaluation for the Arrhythmia prediction
Build a predictive model to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
Data Science - Support Vector Machine Work
Course work & tutorials for "Machine Learning A-Z™"
Create and american sign language recognizer with hidden markov models
ML Algorithms notebook with dataset. Will keep on Updating this Repo.
The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …
Curso de Regression Models do Coursera
Applied Machine Learning ( End to End ) Classification Models
Predicting loan interest rate using ML techniques. Model selection, hyperparameter tuning and dimensionality reduction are also performed
Prediction of the age of abalones in R.
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