AI/ML Research

Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset

The real estate market is a complex ecosystem driven by numerous variables such as location, property features, market trends, and…

1 year ago

From Data to Map: Visualizing Ames House Prices with Python

Geospatial visualization has become an essential tool for understanding and representing data in a geographical context. It plays a pivotal…

1 year ago

Decoding Data: An Introduction to Descriptive Statistics with the Ames Housing Dataset

In this enlightening journey through the myriad lanes of Ames properties, we shine our spotlight on Descriptive Statistics, a cornerstone…

1 year ago

Revealing the Invisible: Visualizing Missing Values in Ames Housing

The digital age has ushered in an era where data-driven decision-making is pivotal in various domains, real estate being a…

1 year ago

Machine Learning in OpenCV (7-Day Mini-Course)

Machine learning is an amazing tool for many tasks. OpenCV is a great library for manipulating images. It would be…

1 year ago

Logistic Regression for Image Classification Using OpenCV

In a previous tutorial, we explored logistic regression as a simple but popular machine learning algorithm for binary classification implemented…

1 year ago

Logistic Regression in OpenCV

Logistic regression is a simple but popular machine learning algorithm for binary classification that uses the logistic, or sigmoid, function…

1 year ago

Running a Neural Network Model in OpenCV

Many machine learning models have been developed, each with strengths and weaknesses. This catalog is not complete without neural network…

1 year ago

Training a Haar Cascade Object Detector in OpenCV

Using a Haar cascade classifier in OpenCV is simple. You just need to provide the trained model in an XML…

1 year ago

Using Haar Cascade for Object Detection

Before the deep learning revolution redefined computer vision, Haar features and Haar cascades were the tools you must not ignore…

1 year ago