Joseph Rochelle's Portfolio
Welcome to my data science portfolio. Below you will find 10 data science projects that range from classification to regression machine learning modeling. Moreover, there are many current and archived examples for future use.
Portfolio
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Project 1: Predicting HR success factors of hiring data scientists
The purpose of this study is to utilize hiring features and create a predictive hiring score if the applicant is looking for a job or not.
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Project 2: Predicting heart attacks
The purpose of this study is to examine the diagnostics heath data that predicts heart attacks.
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Project 3: Predicting Restaurant Revenue
The purpose of this study is to examine the multiple pieces of data that can predict restaurant revenue.
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Project 4: Predicting telecom churn
The purpose of this study is to utilize customer demographic information to determine churn propensity.
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Project 5: Predicting Covid Deaths
The purpose of this study is to predict the % of deaths from confirmed cases.
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Project 6: Predicting baseball attendance
The purpose of this study is to predict baseball attendance as it relates to promotional merchandise offered.
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Project 7: Predicting Titanic deaths by class system
The purpose of this study is to utilizing a classification algorithm to predict deaths by class system.
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Project 8: Predicting text classification with Neural Networks
The purpose of this study is to use deep learning to predict text classification with free text form
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Project 9: Predicting Hotel Recommendations
The purpose of this study is to utilize logistic regression and cluster information to predict hotel recommendations.
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Project 10: Video game data wrangling
The purpose of this study is to wrangle data from twitter, web scrapping, apis, and flat files.
Blog
- 2021-01-08» Code