Uzair Ahmad's repositories
Beacognition
, Beacognition, for real-time discovery of the associations between a signal space and arbitrarily defined regions, termed as Semantically Meaningful Areas (SMAs), in the corresponding physical space. It lets the end users develop semantically meaningful location systems using standard 802.11 network beacons as they roam through their environment. The key idea is to discover the unique associations using a beacon popularity model.
ExData_Plotting1
Visualization
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
complex-adaptive-systems
complex-adaptive-systems
DataStructures
Algorithms and Data Structures
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MIT000
Employee-Retention-
Employee Retention
GraphAnalytics
Information Retrievel based on Semantic Query
uod_noodles
Entity Recognition from Corpus of of Text