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Human Activity Recognition using smartphones
Deep-learning Model.
Deep-learning Model.
Instructor:
Applied AI Course
Duration:
15 mins
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Classical ML models.
Exercise: Build deeper LSTM models and hyper-param tune them
Human Activity Recognition
1.1
Human Activity Recognition Problem definition
9 min
1.2
Dataset understanding
22 min
1.3
Data cleaning & preprocessing
4 min
1.4
EDA:Univariate analysis.
5 min
1.5
EDA:Data visualization using t-SNE
5 min
1.6
Classical ML models.
13 min
1.7
Deep-learning Model.
15 min
1.8
Exercise: Build deeper LSTM models and hyper-param tune them
3 min
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