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lumber-quality-CV
lumber-quality-CV PublicThis project leverages computer vision to automate the monitoring of wood quality and operator efficiency in lumber production. By training a model on annotated images, it accurately detects and cl…
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2020-Election
2020-Election PublicDeployed several machine learning models on census data to predict the 2020 Presidential Election results. Models and techniques include Support Vector Machine, Logistics Regression, PCA, etc.
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Coffee-Stock-TimeSeriesAnalysis
Coffee-Stock-TimeSeriesAnalysis PublicPredicting Coffee Stock Price through Time Series Analysis
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Happinnes-COVID19-Analysis
Happinnes-COVID19-Analysis PublicAn Analysis of Happiness Pre and Post-COVID-19
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Voter-turnout
Voter-turnout PublicAnalyzing factors which affect voter turnout for the 2020 election utilizing PySpark, Hadoop, and Google Cloud Computing.
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