About Me
KEY DATA SCIENCE PROJECTS
1 Smart-TV Gesture Recognition – Deep Learning 3D
Convolutions, CNN and RNN
Predict the 5 gestures with good Accuracy with the least possible
parameters, The gestures are continuously monitored by the
webcam mounted on the TV. Each gesture corresponds to a specific
command.
Built a 3D Convs and CNN-RNN Stack model that will be able to
predict the 5 gestures correctly, the loss decreased with the
number of epochs and was able to get Training Accuracy of[removed]
and Validation Accuracy of[removed].
Techniques used: 3D Convs, CNN-RNN Stack, data ingestion
pipeline- generators
2 Taxi System problem – Hadoop HDFS, Hive Query
Language HQL, Data Ingestion & Processing
The project was aimed at analyzing the commute time and trips of
the different vendors to find which vendor is good and to improve
efficiency of in-city commutes.
Suggested which vendor is good based on correlation between the
number of passengers on any
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