Rohan Kotwani
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  • New Orleans, Louisiana
  • United States
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Short Bio:
Interested in camera automation, time series forecasting, kernel methods, and sequential models.
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Data Scentist
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Rohan Kotwani's Blog

New Algorithm For Density Estimation and Noise Reduction

Posted on April 8, 2020 at 9:30pm 2 Comments

KernelML - Hierarchical Density Factorization


High Density Region Estimation with KernelML

Posted on January 3, 2019 at 4:00pm 0 Comments

Data scientists and predictive modelers often use 1-D and 2-D aggregate statistics for exploratory analysis, data cleaning, and feature creation. Higher dimensional aggregations, i.e., 3 dimensional and above, are more difficult to visualize and understand. High density regions are one example of these N-dimensional statistics. High density regions can be useful for summarizing common characteristics across multiple variables. Another use case is to validate a forecast prediction’s…


Generalized Machine Learning - Kerneml - Simple ML to train Complex ML

Posted on May 4, 2018 at 10:00am 2 Comments

I recently created a ‘particle optimizer’ and published a pip python package called kernelml. The motivation for making this algorithm was to give analysts and data scientists a generalized machine learning algorithm for complex loss functions and non-linear coefficients. The optimizer uses a combination of simple machine learning and probabilistic simulations to search for optimal parameters using a loss function, input and output matrices, and (optionally) a random…


How signal processing can be used to identify patterns in complex time series

Posted on January 18, 2017 at 6:30pm 3 Comments

The trend and seasonality can be accounted for in a linear model by including sinusoidal components with a given frequency. However, finding the appropriate frequency…


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