abhimandal
DataScientist.py: Epoch run: 80/100
Student MSc. Digital Engineering at OVGU, MagdeburgMagdeburg, Germany
Pinned Repositories
AneurysmSegmentation
3D Deep learning Segmentation on 3D Point data to predict WSS values for Intracranial Aneurysms
DeepLearning
Deep Learning Programs
FCM
HolidayPlanning_Forecast_Py
This Mini-Project aims to provide the recommendation to user for trip to pre-selected cities based on input parameters of date and temperature. The tool uses the date to predict the temperature of the cities for given date and then gives flight options available through a 3rd Party flight information provider. The predictions are made by LSTM and FB Prophet.
MindPeaceAndroid
Android App as part of course Project (ISEE) at OVGU to track location of a friend
TinnitusSubType_R
Finding the sub-types in tinnitus patient data using Clustering and reducing the questionnaires asked to the patient using Decision Trees and Random Forest. Visualisation of the subtypes in SpikeNails format in D3 and finally creating a ShinyApp in R.
VisualAnalyticsOVGU
Programmed in R, these files are part of exercises that are used to perform different Data science approaches in R.
KMD_Tinnitus
Tinnitus Subtypes Identification with Clustering and Result Interpretation using Radial Bar Chart and Surrogate Models
abhimandal's Repositories
abhimandal/AneurysmSegmentation
3D Deep learning Segmentation on 3D Point data to predict WSS values for Intracranial Aneurysms
abhimandal/DeepLearning
Deep Learning Programs
abhimandal/FCM
abhimandal/HolidayPlanning_Forecast_Py
This Mini-Project aims to provide the recommendation to user for trip to pre-selected cities based on input parameters of date and temperature. The tool uses the date to predict the temperature of the cities for given date and then gives flight options available through a 3rd Party flight information provider. The predictions are made by LSTM and FB Prophet.
abhimandal/MindPeaceAndroid
Android App as part of course Project (ISEE) at OVGU to track location of a friend
abhimandal/TinnitusSubType_R
Finding the sub-types in tinnitus patient data using Clustering and reducing the questionnaires asked to the patient using Decision Trees and Random Forest. Visualisation of the subtypes in SpikeNails format in D3 and finally creating a ShinyApp in R.
abhimandal/VisualAnalyticsOVGU
Programmed in R, these files are part of exercises that are used to perform different Data science approaches in R.