Exploring the Sklearn.Multioutput ClassBuilding Multi-target Machine Learning Models.Jul 28, 20231Jul 28, 20231
Building Your Own Categorical EncodersUsing the Mean, Median and Mode Categorical Encoders.Apr 11, 2023Apr 11, 2023
Published inTDS ArchiveUnsupervised Learning: Building Score Metrics for Cluster PointsMeasuring differences within similar cluster pointsSep 8, 2022Sep 8, 2022
Building Customer Clusters Using Unsupervised Machine LearningApplying Unsupervised Machine Learning in BusinessApr 13, 2022Apr 13, 2022
Published inTDS ArchiveHere’s what I’ve learnt about sklearn.resampleExplaining Upsampling, Downsampling and some mistakes to avoid when using them.Jun 1, 20211Jun 1, 20211
Published inTDS ArchiveEnsemble Methods: Comparing Scikit Learn’s Voting Classifier to The Stacking ClassifierUsing the Titanic Dataset to compare scikit learn’s voting classifier and the stacking classifier.Jul 2, 2020Jul 2, 2020
Published inBecoming Human: Artificial Intelligence MagazineHow Important is Self Learning in Data Science?Self learning is a process by which individuals take the initiative, with or without the assistance of others, in diagnosing their…May 8, 20201May 8, 20201
Image Classification Using the Variational AutoencoderConventional Image identification using Neural Networks requires Image Labeling. Image Labeling can be a tedious, or more so expensive,Jan 2, 2020Jan 2, 2020
Using NLP to determine the Sentiments of tweets.Everyone talks about Lagos being the city where dreams are fulfilled and all aspirations are graciously met. This thoughts have brought…Nov 5, 2019Nov 5, 2019
