Machine Learning

Metrics for Evaluating Machine Learning Models – Classification

Confusion Matrix Let’s say we have a binary classifier cats and non- cats, we have 1100 test images, 1000 non cats, 100 cats. The output of the classifier is either Positive  which means “cat” or Negative which  means non-cat. The following is called confusion matrix: How to interpret these term is as follows: Correctness of […]

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Extended Kalman Filter Explained with Python Code

In the following code, I have implemented an Extended Kalman Filter for modeling the movement of a car with constant turn rate and velocity. The code is mainly based on this work (I did some bug fixing and some adaptation such that the code runs similar to the Kalman filter that I have earlier implemented).

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Parcticle Filter Explained With Python Code From Scratch

In the following code I have implemented a localization algorithm based on particle filter. I have used conda to run my code, you can run the following for installation of dependencies:

and the code:

 

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Kalman Filter Explained With Python Code From Scratch

This snippet shows tracking mouse cursor with Python code from scratch and comparing the result with OpenCV. The CSV file that has been used are being created with below c++ code. A sample could be downloaded from here 1, 2, 3. Python Kalman Filter

C++ and OpenCV Kalman Filter Rapidcsv has been downloaded from

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