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analyzing-the-use-of-buzz-words-ml-ai-iot-cloud-in-10-k-filings-and-its-impact-on-mf-managers

Covering about 80% of American market by capitalization across industries, S&P500 companies are seamless users of cutting edge technologies in their operations. The purpose of our project was to find out if the application of these technologies in such company operations could affect their future performance. Also, we wanted to see how appearance of such buzzwords( ML, AI, IoT, Cloud) could affect mutual fund manager’s decision on picking holdings for their portfolios.

electrical-load-profile-analysis-and-peak-load-assessment-using-stat-modeling-of-new-england-region

A methodology that relates climate parameters to Peak Demand at county level scales has been applied to six states in the Independent System Operator (ISO) New England region to predict daily peak demand. These models allow for detailed analyses of electricity demand and its vulnerabilities to climate change at county level scale. The results include the comparison between various models and indicate the best model for predicting the daily peak demand significantly.

forecasting-a-recession-based-on-yield-curves

Small Python project to understand yield curves and forecasting a recession

national-park-service-nps

Python Project to harvest parking fee of National Parks, National Historic Areas, National Preserve, National Monument, National Recreation Area, National Seashore etc using REST APIs

sentiment-analysis-of-restaurants-at-times-square-yelp

walmart-sales-forecasting

A regression based modeling project to forecast the sales of Walmart