Predictive model using neural networks to predict the accent in the Spanish language using an audio recording.

Create a predictive model using neural networks to predict the accent in the Spanish language using an audio recording. The different accents to predict are as follows: 'chileno', 'surpeninsular', 'andino','caribe', 'nortepeninsular', 'mexicano', 'rioplatense', 'americacentral', 'centrosurpeninsula

From Multidimensional Poverty Index by block to average by urban neighborhood using free data from foursquare.

Could the closer venues from each neighborhood has a relationship with poverty and with this data is possible to do prediction like an approximation to Multidimensional Poverty Index? Using Machine learning and foursquare free data, we will try to resolve this!!!

Prediction Additions in the Amount of Public Procurement Contracts

The objective of the predictive model is to make a prediction about whether a new contract will exceed 50% of the value in additions with respect to its initial value.

Analysis of geochemical sampling of surface soils using unsupervised machine learning methods as a strategy for prospecting for mineral deposits in Peru.

Unsupervised machine learning techniques were used in this analysis, finding 9 main components that explain 80% of the variance and using agglomerative clustering, finding 13 clusters of which 4 have significant correlations with mineral deposit indicators

Bucaramanga Seismic Nest

Bucaramanga Seismic Nest map with Magnitude >4.5 from 1993-2018