Pinned Repositories
Credit-Card-Fraud-Anomaly-Outlier-Detection
The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.
Cultural-Health-Moments
Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.
dashboard_template
This repository contains a customizable dashboard template built using Plotly Dash. Designed for easy adaptation for my various projects that contain interactive data visualization. The template provides a foundation for creating interactive, intuitive and user friendly dashboards.
Developing-a-Score-to-Measure-Riskiness-of-Residential-Properties-Insurance
Objective, create a scoring model that assesses the riskiness of residential buildings (homes, apartments, and condos) in New York City. This model will assist insurance underwriters by utilizing data from NYC 311 service requests, FDNY incidents, and NYPD crime data, to develop a scoring mechanism for property risk assessment.
General-Utility-Tools-
This has some scripts that I randomly use!!
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Market-Basket-Analysis-on-the-Online-Retail-Data
The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.
NHANES-Data-Visualization-Dashboard
Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.
NHANES-EDA-on-Health-Disparities
This project aims to conduct a thorough Exploratory Data Analysis (EDA) using NHANES Demographic and Questionnaire Data to investigate and gain an understanding on health disparities & Inequities in the U.S. Our goal is to identify the key factors contributing to health disparities and provide insights for promoting health equity.
NHANES-pyTOOL-API
The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.
kkrusere's Repositories
kkrusere/NHANES-pyTOOL-API
The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.
kkrusere/Market-Basket-Analysis-on-the-Online-Retail-Data
The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.
kkrusere/NHANES-Data-Visualization-Dashboard
Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.
kkrusere/Credit-Card-Fraud-Anomaly-Outlier-Detection
The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.
kkrusere/Cultural-Health-Moments
Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.
kkrusere/dashboard_template
This repository contains a customizable dashboard template built using Plotly Dash. Designed for easy adaptation for my various projects that contain interactive data visualization. The template provides a foundation for creating interactive, intuitive and user friendly dashboards.
kkrusere/Developing-a-Score-to-Measure-Riskiness-of-Residential-Properties-Insurance
Objective, create a scoring model that assesses the riskiness of residential buildings (homes, apartments, and condos) in New York City. This model will assist insurance underwriters by utilizing data from NYC 311 service requests, FDNY incidents, and NYPD crime data, to develop a scoring mechanism for property risk assessment.
kkrusere/General-Utility-Tools-
This has some scripts that I randomly use!!
kkrusere/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
kkrusere/NHANES-EDA-on-Health-Disparities
This project aims to conduct a thorough Exploratory Data Analysis (EDA) using NHANES Demographic and Questionnaire Data to investigate and gain an understanding on health disparities & Inequities in the U.S. Our goal is to identify the key factors contributing to health disparities and provide insights for promoting health equity.
kkrusere/NLP-Text-Summarization
text Summarization: Abstractive, Extractive, and Transformer-based approaches. This project explores various text summarization techniques, including both abstractive and extractive approaches, using traditional methods (`NLTK`, and `spaCy`, `Gensim`, and `Sumy`) as well as advanced Large Language Models (LLMs).
kkrusere/portfolio
kkrusere/Time-Series-Analysis-on-Freighter-shipping-prices
Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.
kkrusere/youTube-comments-Analyzer
Given a YouTube video, do an NLP analysis on the comments