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Suyash Shrivastava's Projects

biobert icon biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

credit-line-increase---analytics-edge-and-big-data-ethics---dnsc-6301 icon credit-line-increase---analytics-edge-and-big-data-ethics---dnsc-6301

DNSC 6301 Group Project of Group 13 - Training a decision tree model to find discrimination while increasing credit limit• Developed a supervised training model to predict eligibility of a person for credit line increase after testing for biases in race and gender • Realised impact of ethical considerations by checking if the AIR’s are above 0.8 to ensure model is not negatively impacting customers in a real-world implementation

gwu_ml icon gwu_ml

Assignments, coursework and class materials for DNSC 6314 and 6315, Machine Learning I and II taught by Prof. JP Hall at GWU SB.

gwu_rml icon gwu_rml

Responsible Machine Learning DNSC 6290

ml6290_group2 icon ml6290_group2

Responsible Machine Learning DNSC 6290 - Assignment repository

paypocket_business-analytics-practicum_dnsc-6317 icon paypocket_business-analytics-practicum_dnsc-6317

• Creating a dashboard to visualize and understand flow and characteristics of payouts • Simplifying complex payout problems through data visualization using Power BI and Tableau • Overlaying the visualization with time series forecasting and prediction using Python

spark-py-notebooks icon spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

sports-analytics-dnsc-6327 icon sports-analytics-dnsc-6327

Repository of all the Sports Analytics (DNSC 6327) assignments completed in the Fall 2021 semester at GWU School of Business.

wrangling-jhu-s-covid-19-dataset-to-get-valuable-insights---data-management-for-analytics--dnsc-6305 icon wrangling-jhu-s-covid-19-dataset-to-get-valuable-insights---data-management-for-analytics--dnsc-6305

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE -- • Wrangled and scrutinized JHU COVID-19 dataset to answer analytical questions • Performed regression analysis and visualizations resulting in valuable insights including strong positive relationship between education scores and rate of vaccinated people per state • Analyzed if state party affiliation was correlated with reported COVID vaccination rates

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