Developed a Chrome extension with statistical insights for job applicants, integrating OAuth/Gmail API. Deployed a Node.js RESTful API on GCP with Docker and Nginx. Automated testing in Python. Reduced GPT-3.5-turbo processing costs by 60% using a language model.
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The script applies ridge regression with polynomial features and KFold cross-validation to predict average working age, evaluating performance and visualizing results.
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This project aims to predict genetic disorders based on patient data using various machine learning techniques. We explored data preprocessing, feature engineering, and model development, including collaborative filtering and decision tree classification.
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This project involved classifying data points into three different classes using a Bayesian classifier. The tasks included generating scatter plots, estimating prior probabilities and likelihood distributions, classifying data, and evaluating the classifier's performance..
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This project examines factors influencing delivery times using data on delivery times, number of cases, distance, and delivery city. It aims to build a predictive model, assess the city's significance, compare models across cities, and analyze residuals for model adequacy.
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This project builds a linear regression model to analyze how vehicle weight and transmission type affect gasoline mileage, assessing transmission significance, interaction effects, and the impact of interaction terms.
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This project is a server-client application for managing stock transactions. The server handles commands related to buying, selling, and managing stocks, while the client application interacts with the server to execute these commands.
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This project analyzes performance metrics in chemical processing using regression analysis. It examines the impact of total solvent and hydrogen consumption on CO2 levels.
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The Plane Reservation System is a basic C++ application for managing and displaying plane seating arrangements. It enables seat reservations, cancellations, chart views, file saving, and seat availability statistics, marking my initial project experience.
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