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.

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.

森林総合研究所北海道支所所内セミナーでの発表資料「いつでもAICを使えばよいというものではない」

Student assignment on data analysis with R

Predicting the risk of a person developing the coronary heart disease in 10 years using Machine Learning models.

Repository where I keep all the assignments and the project developed in the scope of the Machine Learning discipline, lectured by Professor Diego Mesquita (FGV EMAp).

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery