srp98/Dimensionality-Reduction-with-Autoencoder

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11
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Language
Python
License
MIT License
Created over 6 years ago
Updated over 6 years ago

srp98/Dimensionality-Reduction-with-Autoencoder

srp98

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Using Autoencoder for dimensionality reduction and feature extraction

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A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

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Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Unsupervised-Learning

Clustering Algorithms based on centroids namely K-Means Clustering, Agglomerative Clustering and Density Based Spatial Clustering

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A Deep Convolutional Neural Network with drop out layer architecture to decrease over-fitting and to increase accuracy.

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Random Forest Classification of data based on entropy