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Tutorial on Barplots using R’s ggplot Package
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Using R’s “ggplot” package for barplots of three different datasets This tutorial will discuss how bar plots can be generated using R’s ggplot package using 3 examples. Another tutorial on data visualization …
Data Science 101 — A Short Course on Medium Platform with R and Python Code Included
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science 101 is intended for individuals that have some prior exposure or knowledge in data science concepts and are interested in practical applications beyond what is offered in most introductory-level data …
Non-Linear Models
Author(s): Dr. Marc Jacobs Originally published on Towards AI. When the formula looks nice but is hurting the analysis This is not my first blog concerning non-linear models. In fact, if you sift through my lists of blogs, you can see I …
Modelling Mortality in Laying Hens
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Combining mortality and temperature data for an exciting endeavor This post will NOT be about Kaplan-Meier or Cox Regression, but about modeling time-to-event data via the Binary, Poisson, or Negative-Binomial way. If you …
Dashboard Creation Using R Shiny
Author(s): Suyash Maheshwari Originally published on Towards AI. Shiny is an R package that is used to build interactive dashboards that can be used to display predictions. It can be used by programmers to communicate the findings of data to organization members …
Predicting Sales using R programming
Author(s): Suyash Maheshwari Originally published on Towards AI. In this article, I will forecast the sales of a multinational retail corporation. The dataset for this can be found on Kaggle. We have been provided with weekly sales data on which we train …
R Script for Data Science Coding Exercise
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Some coding challenge problems would specify that a formal project report be submitted together with a Jupyter notebook or R Script file Photo by Safar Safarov on Unsplash The take-home challenge problem …
Outlier Detection (Part 2): Multivariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Mahalanobis distance U+007C Robust estimates (MCD): Example in R Original Image Seen Here In Part 1 (outlier detection: univariate), we learned how to use robust methods …
Outlier Detection (Part 1): Univariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Robust Statistics: Example in R Making a Point A popular tool for outlier detection is Calculate z-score for each observation. Flag observation as an outlier if …
Identify Claims, Check or Accounting Fraud: One Simple Check
Author(s): Mishtert T Originally published on Towards AI. Fraud Detection U+007C Implementation Example in R Quick Way to Identify, Filter & Test Assumption of Fraud Photo by Marvin Ronsdorf on Unsplash Law of Anomalous Numbers (Benford’s Law) If you are reading a …
Credit Card Fraud Detection in R: Best AUC Score 99.2%
Author(s): Mishtert T Originally published on Towards AI. Fraud U+007C Anomaly Detection Light GBM Model & Synthetic data points in an imbalanced dataset What’s Light GBM Light GBM is a high-performance gradient boosting (GBDT, GBRT, GBM or MART) framework and is used …
Beginner’s Guide to Writing Data Science Blogs on Medium
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Are you new on Medium? Are you interested in writing data science articles and publishing these on Medium? This article will discuss the stages involved in writing a good data science article …
Example 1: Extract a Table from PDF File Using Python
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Demonstration of parsing PDF files using Python & R API Top highlight Data is key for any analysis in data science, be it inferential analysis, predictive analysis, or prescriptive analysis. The predictive …
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