SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017

For reading from and writing to parallel data files in Python

Predicting the demand of food amenities using LSTM and MLP

Visolario pre-processing

Programs with respect to Tensorflow

Main aim is to generate movie recommendations for a user, given the movie they already watched and the respective rating they gave for those movies

Implemented Scikit MLP classifier to predict Breast Cancer from features like Clump Thickness, Uniformity of Cell Size, Uniformity of Cell Shape etc.

Database containing tweets published between Jan 24th-Feb 25th, 2017 related to the movies nominated to Best Picture on the 2017 Academy Awards

SVM model to classify SMS as spam or ham using Machine Learning

Python search engine

Learn main contents ML

Adds guards for preprocessor definitions.

Data Mining course assignments.

Searches satellite magnetometer data for Interplanetary Field Enhancements

A suite of function facilitating the pre-processing of one or several datasets. It requires EEGLAB to function and, for the moment, imports raw files in *.bdf (Biosemi Data) format.

Determining what small celestial body has created the dust which disturbed the magnetic field and created an IFE

Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.

Inter-vertebral disc modelling Using pre-processing networks based on deep ResUNet

Glare reduction is a step in Recovering glare images by Image processing method in Convolutional Neural Network (CNN).