WEKA model for binary classification of Pima Indian Diabetes Data
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Updated
Mar 13, 2017
WEKA model for binary classification of Pima Indian Diabetes Data
Uma implementação simples do algorítimo de classificação K - Nearest Neighbor (K-NN).
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
Machine Learning engine generates predictions given any dataset using regression
Package provides javascript implementation of support vector machines
Online machine learning algorithms (based on OLL C++ library)
Just some Data Science challenges that I have participated in
Predict if a car purchased at auction is a lemon.
WIP, to be updated later.
Experiments on Neural Language Embeddings
Perceptron Linear Classification Learning and Linear Regression Gradient Descent
A practical application in e-commerce applications to infer sentiment (or polarity) from free-form review text submitted for a range of products. I have wrote a K Nearest Neighbor algorithm to calculate the locality of a review vector in the Euclidean space using the Cosine Similarity Metric.
Develop predictive models that can determine, given a particular compound, whether it is active (1) or not (0). A molecule can be represented by several thousands of binary features which represent their topological shapes and other characteristics important for binding.
In this exercise, the objective is to build a classifier only with the training data, with the goal of achieving the best performance possible on the validation data.
Package provides javascript implementation of linear regression and logistic regression
Lab to illustrate using Amazon Machine Learning to diagnose breast cancer in patients (binary classification)
Simple binary classification algorithm
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