Categories classification

11 posts

Auto Added by WPeMatico

A brief look at sklearn.tree.DecisionTreeClassifier

In my continuing attempt to automate as much as of my Daily Fantasy Sports lineup creation as possible, I’ve been exploring decision trees. I realized this technique might be valuable after listening to my thought process as it relates to fantasy sports. Generally, I’ll ask myself questions like “Has this […]

AutoWorkout: How to Improve Motion Activity Classifier Predictions?

Recently I started working on AutoWorkout iOS/WatchOS app. It automatically recognizes fitness exercises and provides time spent on each exercise and reps made (in a future release). The idea of this app naturally arose from my first attempts to recognize motion activity type with machine learning by first collecting motion […]

Automated Text Classification Using Machine Learning

Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, science journals, e-books, learning content, news and social media are all full of textual data. The idea is to create, analyze and report information fast. […]

Automated Text Classification Using Machine Learning

Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, science journals, e-books, learning content, news and social media are all full of textual data. The idea is to create, analyze and report information fast. […]

Predicting Wealth in New York City from FourSquare Check-ins

Applying machine learning to understand the people and businesses in our cities Motivation In marketing and advertising, an understanding of local demographics allows enterprises to better cater their products and services towards the individuals who live there. In the academic world, social scientists might be interested in understanding how people in […]

Medical Imaging Meets NIPS: A summary

This year I attended and presented a poster at the Medical Imaging Meets NIPs workshop. The workshop focused on bringing together professionals from both the medical imaging and machine learning communities. Altogether there were eleven talks and two poster sessions. Here I’m going to recap some of the highlights of […]

Ensemble Learning in Machine Learning | Getting Started

It is much reliable to use various different models rather than just one. A collection of several models working together on a single set is called an Ensemble. The method is called Ensemble Learning. Voting You can train your model using diverse algorithms and then ensemble them to predict the […]