Scott DudaIdentifying and Addressing Multicollinearity in Regression AnalysisOct 14, 2022Oct 14, 2022
Scott DudaCategorical Clustering of Pittsburgh Car Accidents Using K-ModesCluster analysis, or clustering, refers to the segmentation of items or observations into groups based on their similarity to one another…May 7, 2021May 7, 2021
Scott DudaPredicting Energy Consumption (Part 2)In Part 1 of this article, we looked at some introductory topics in the domain of time series analysis. Topics covered in Part 1 included…Feb 19, 2021Feb 19, 2021
Scott DudaCommon Evaluation Metrics for Regression AnalysisChoosing an evaluation metric to assess model performance is an important element of the data analysis pipeline. By properly selecting an…Jan 14, 2021Jan 14, 2021
Scott DudaFine-Tuning Language Models for Sentiment AnalysisSentiment analysis refers to classification of a sample of text based on the sentiment or opinion it expresses. Whenever we write text, it…Dec 23, 2020Dec 23, 2020
Scott DudaGenerating an Edgar Allan Poe-Styled Poem Using GPT-2Project DescriptionNov 1, 2020Nov 1, 2020
Scott DudaAudio Analysis: How to Impress (or Disappoint) PitchforkPitchfork is an online music review website that has been actively reviewing albums and individual songs since the mid-90's. The site…Oct 16, 2020Oct 16, 2020
Scott DudaUrban Environmental Audio Classification Using Mel SpectrogramsThis article provides a basic introduction to audio classification using deep learning. We will build a Convolutional Neural Network (CNN)…Sep 10, 20201Sep 10, 20201
Scott DudaPredicting Energy Consumption (Part 1)An Introduction to Time Series Analysis and Forecasting Using PythonAug 27, 2020Aug 27, 2020
Scott DudaSan Francisco Crime ClassificationUsing Spatial and Temporal Data to Predict Crime CategoriesJul 28, 2020Jul 28, 2020
