Python

Hand Image Classification – Part 3 – Prediction on my own images

Using images generated for a learning task might work well when it comes to classification of images generated in a similar manner. But the real world is more complex. Here, we use the models trained on images generated in a particular way and apply it to images which are in a slightly different format.

Hand Image Classification – Part 2 – Transfer Learning – Which Hand?

byadmin June 26, 2020 Classification Convolutional Neural Networks Image Classification Neural Networks Python

The journey we took from simple algorithms to more complex ones resulted in a Convolutional Neural Network (CNN) with the ability to perfectly classify the images of the hands it had not seen yet. In this article we would like to build an algorithm to classify whether the hand in an image is a left or right hand. We can then re-use our well performing model in our new task. This is called Transfer Learning.

Hand Image Classification – Part 1 – How many fingers?

byadmin June 20, 2020 Convolutional Neural Networks Neural Networks Python

We take a short journey from Logistic Regression, through Neural Networks and Convolutional Neural Networks to see the benefits of complex model architectures on prediction performance

Gambler’s Ruin

byadmin February 8, 2020 Difference Equations Mathematics Python

Suppose I start gambling with $13 and with the goal of walking away with double my money. If I have 55% probability of winning $1 and 45% probability of losing $1 at each gamble, what's the probability that I will lose all my money before I double it? This is the Gambler's Ruin problem.

This article has 4 sections:

Introduction: Introduction to the gambler's ruin problem
Theory: The solution to the Gambler's Ruin problem
Methodology: How the simulation will be carried out
Pseudocode: Summary of the Python Code

Ridge Regression

byadmin July 23, 2019 Linear Regression Python Ridge Regression

In Statistical Learning, regularisation is an approach to the mitigation of overfitting. Ridge Regression is one of the most well known extensions of Linear Regression to incorporate regularisation.

Analysing online review data – Part 2

byadmin May 9, 2019 Python Text Analysis

Previously, we developed a module to take care of getting the review data from Tripadvisor or Yelp in a DataFrame format. Now we want to do some analysis on this data. In this part of the series, we will do some topic modeling using Latent Dirichlet Allocation (LDA) and create…

Analysing online review data – Part 1

byadmin April 29, 2019 Python Web Scraping

The House of Dionysus The House of Dionysus is a popular tourist destination in Paphos, Cyprus. It is interesting to get an idea of the general feelings of the visitors to this destination. It turns out that the popular review site Tripadvisor has plenty of reviews for this destination. Below,…