For last couple of years, I have been using Tableau extensively for professional purposes. I found Tableau to be extremely user friendly with very lenient learning curve although automations and integration with R and Python leave much to be desired. The good thing is that there is a public version...
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Analytical presentations: Looking for the right things
Smoke and mirrors aplenty
Last few years, analytics and its companion words (Big Data, Machine Learning etc.) have become victims of overuse and abuse. At every meeting you get a few people utter this words for any or everything. Yes, they have become huge but very few companies possess the amount of data or...
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Predicting Olympics medalists
A #TidyTuesday Tidymodels adventure
After a few weeks of hiatus from #TidyTuesday, I am back with 27-July’21 dataset which is about Olympics. In this exercise, I will try to develop a model to predict medalists using a bagged tree model. This post is intended to workflow through a bare-bones model. So, we are not...
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Tidymodels with GLMNet for Kaggle competition
Trying out #Sliced S01E02 datasets
Introduction Lately I have been indulged in learning all things tidymodels in my after office hours. But I was missing something - the effectiveness of my learning journey. Committing to large scale competition was unwieldy but then came #Sliced - a data science problem solving 2-hour sprint with small datasets....
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#TidyTuesday Water sources in Nigeria over the years
100+ years of water sourcing history
This week’s #TidyTuesday dataset is about Water Access Points sourced from Water point data exchange. TidyTuesday is a weekly data project aimed at the R ecosystem. The data was curtailed to select nations for this week. I only focused on Nigeria. The Outcome After 1980s, boreholes increased drastically in Nigeria...
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