I re-tuned my model parameters given the fact the time signal is only 4096 samples compared to 20480 in the IMS data. Will explain why this is important and why did I miss it in the first round when we meet tomorrow! Dr. Mina, I believe I am relly good in the P-F curve right now!

Washing Machine bearing results when trained on the 2015 and 2016 batch.

Reconstructing the Hann windowed time signal from the FFT extracted from the analyzer.

Reconstructing the FFT from raw time signal after applying Hanning window to it.

Axial waterfall of the readings received.

Health monitoring of T2B1 using the DS-PCA-HMM method in scarce data scenarios compared to the original training data size.

Health monitoring of T2B1 using the DS-PCA-HMM method in scarce data scenarios compared to the original training data size.

This is the presentation pitching the text prediction capstone project of the JHU Data Science Specialization.

This is the data science capstone project milestone report.

This is the presentation of the 'Developing Data Products' course project.

Reproducible Research - Course Project 2 - Exploring NOAA Storm DB