Hands-on k-fold Cross-validation for Machine Learning Model Evaluation — Cruise Ship Dataset
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import necessary libraries In the previous article (Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot), we’ve shown that a covariance matrix plot can be used for feature selection and dimensionality …
AI for Good: An Exploratory Approach to Tackling Climate Change with Data Science
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Technology and Climate Change Technology has been a tool that has brought unprecedented prosperity to humanity. It allowed us to extract resources, transform, and transport them with ever-increasing efficiency. It brought about the contemporary …
Deep Learning: Past, Present, and Future…
Author(s): Shubham Saboo Originally published on Towards AI. “Everything that is possible demands to exist” — Gottfried Wilhelm Leibniz Introduction Deep Learning is a subset of Artificial Intelligence that falls under the umbrella of machine learning. It is inspired by the structure …
Machine learning model for predicting medium writer earnings
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. On October 22, 2019, Medium unveiled a new model for calculating writer’s earnings. According to this new model, earnings will be calculated based on the reading time of Medium members. You may …
Make Art with Math. Become an Artist
Author(s): Mishtert T Originally published on Towards AI. Phyllotaxis Not only Analysis… R can make beautiful things too… “Mathematics is the science of patterns, and nature exploits just about every pattern that there is. ” (Ian Stewart) Phyllotaxy The arrangement of leaves …
A Simple Post-Processing Step to Improve the Fairness of Collaborative Recommender Systems
Author(s): ___ Originally published on Towards AI. Overview In this article, I will describe an algorithm that can be applied as a post-processing step to alleviate the popularity bias inherent in collaborative filtering-based recommender systems. The content of this article is based …
A Decision Support System for Disaster Risk Management in Madagascar
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Addressing natural disaster risk as a data science consultancy One of the challenges posed by climate change is the increased risk of catastrophic natural events. These are likely to disproportionately affect most vulnerable areas …
Geolocation Data Analysis of Lagos.
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Using EDA and Machine Learning to find prime office locations in Lagos The problem we’re going to solve using Geolocation data analysis and Machine Learning, is helping a new Tech Start-Up find the …
Emoticon and Emoji in Text Mining
Author(s): Dhilip Subramanian Originally published on Towards AI. Converting Emoticon and Emoji into word form using Python Source: wallpaperplay In today’s online communication, emojis and emoticons are becoming the primary language that allows us to communicate with anyone globally when you need …
A Gentle Introduction to Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. TransE Top highlight Photo by Edward Ma on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an explicit …
How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Author(s): ___ Originally published on Towards AI. Definition In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which …
Random Walk in Node Embeddings (DeepWalk, node2vec, LINE, and GraphSAGE)
Author(s): Edward Ma Originally published on Towards AI. Graph Embeddings Top highlight Photo by Steven Wei on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an …
A Practical Tip When Working With Random Samples On Spark
Author(s): ___ Originally published on Towards AI. In this article, I will share a crucial tip when using Spark to analyze a random sample of a data frame. The code to reproduce the results can be found here. It’s an HTML version …
When Variance and Standard Deviation Fail to Explain Variability!
Author(s): Astha Puri Originally published on Towards AI. We all know the definition of variance — it helps us understand how dispersed the data points are, around the mean. If the data points are far off from the mean, we have larger …
Top Restaurant Finder Nearby
Author(s): Chittal Patel Originally published on Towards AI. Photo by Jay Wennington on Unsplash Introduction In this project, I created a Basic Data Science Project namely Top Restaurant Finder which will give the top Restaurants near your address. I did explore the …
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