When I followed Andrew Ng’s Neural Networks and Deep Learning course on Coursera, I found building a Neural Network from scratch extremely helpful to get a clear understanding of how these work. In this post, I share with you how I built a deep neural network from scratch to get a better understanding of its inner workings. The model is a class... Read more 20 Mar 2021 - 15 minute read
This post is part II of a walkthough of how I built and improved my submission to the Titanic Machine Learning competition on Kaggle. The goal of the competition is to create a machine learning model that predicts which passengers survived the Titanic shipwreck. Part I covered data exploration, cleansing and transformation. At the end of my las... Read more 10 Mar 2021 - 7 minute read
This post is part I of a walkthough of how I built and improved my submission to the Titanic Machine Learning competition on Kaggle. The goal of the competition is to create a machine learning model that predicts which passengers survived the Titanic shipwreck. In this post and the next, I will walk through the process of creating a machine lea... Read more 05 Mar 2021 - 16 minute read
In this notebook we explore a data set containing around 60,000 OKCupid profiles and see if we can identify trends in how users of different genders express themselves based on their responses to open text fields within the app such as About Me, Current Goals, My Golden Rule, etc .. There are 10 essay columns in this dataset and they relate to ... Read more 10 Feb 2021 - 12 minute read
In this notebook we are going to explore data from the men’s professional tennis league, which is called the ATP (Association of Tennis Professionals). We are going to familiarize ourselves with the data, analyse it, and build a model that predicts the outcome for a tennis player based on their playing habits. The data on-hand is about the top ... Read more 03 Feb 2021 - 6 minute read