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- A Tutorial on Hidden Markov Model with a Stock Price Example - Part 1
- A Tutorial on Hidden Markov Model with a Stock Price Example – Part 2
- Hidden Technical Debt of Machine Learning - Play Now Pay Later
- Gaussian Mixture Model with Application to Anomaly Detection
- Two Ways to Perform Linear Regression in Python with Numpy and Scikit-Learn
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# Monthly Archives: August 2016

## Two Ways to Perform Linear Regression in Python with Numpy and Scikit-Learn

Greetings, This is a short post to share two ways (there are many more) to perform pain-free linear regression in python. I will use numpy.poly1d and sklearn.linearmodel. Using numpy.polyfit we can fit any data to a specified degree polynomial by … Continue reading

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

## K-Means Clustering and How it Relates to the Gaussian Mixture Model

Greetings, I would like to write a post on the Gaussian Mixture models. The post would be a tutorial with a, hopefully, intuitive explanation of when and how to use Gaussian Mixture (GM) models. However, before I begin with GM, … Continue reading

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

## Learning Predictive Rules on the Poker Hand Data Set

Hello again, In my last post I have shared a rather simple python code to build a decision tree classifier to recognize a hand in a poker game. The simplicity of my solution stemmed from the fact that I added … Continue reading

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

## Learning Binary Decision Trees from the Poker Hand Data Set

Greetings, my blog readers! What a year this has been so far! I am finally finding some time and energy to write new posts on my blog. I am really looking forward to blogging more about machine learning and data … Continue reading

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