### Tags

### Top Posts & Pages

- A Tutorial on Hidden Markov Model with a Stock Price Example - Part 1
- Two Ways to Perform Linear Regression in Python with Numpy and Scikit-Learn
- A Tutorial on Hidden Markov Model with a Stock Price Example – Part 2
- Linear and Cubic Spline Interpolation
- Decision Tree Classifier - Part 1
- Executing a Python Script from a C# Program

### Archives

### Blogs I Follow

# Category Archives: Python Programming

## Python gotchas

Here is the thing – I am a big fan of Python programming language. Now that there is an Intel distribution of Python, I don’t think I ever want to write in any other language again… Having said that, Python … Continue reading

Posted in Home, Python Programming
Tagged python

## samplepy – a new Python Sampling Package

Hello my blog readers, This post is to introduce a new Python package samplepy. This package was written to simplify sampling tasks that so often creep-up in machine learning. The package implements Importance, Rejection and Metropolis-Hastings sampling algorithms. samplepy has … Continue reading

Posted in Machine Learning, Python Programming
Tagged Machine Learning, python, sampling

## A Tutorial on Hidden Markov Model with a Stock Price Example – Part 2

This is the 2nd part of the tutorial on Hidden Markov models. In this post we will look at a possible implementation of the described algorithms and estimate model performance on Yahoo stock price time-series. Implementation of HMM in Python … Continue reading

Posted in Machine Learning, Python Programming
Tagged Machine Learning, python

## A Tutorial on Hidden Markov Model with a Stock Price Example – Part 1

This tutorial is on a Hidden Markov Model. What is a Hidden Markov Model and why is it hiding? I have split the tutorial in two parts. Part 1 will provide the background to the discrete HMMs. I will motivate … Continue reading

Posted in Machine Learning, Python Programming
Tagged Machine Learning, python

## Gaussian Mixture Model with Application to Anomaly Detection

There are many flavors of clustering algorithms available to data scientists today. To name just a few would be to list k-means, KNN, LDA, parametric mixture models (e.g. Gaussian Mixture), hidden Markov for time-series and SOMs. Each mentioned model has … Continue reading

Posted in Machine Learning, Python Programming
Tagged Machine Learning