Data Science in Action: Revolutionizing Logistics for a Connected World
In an era characterized by globalization, e-commerce, and rapid technological advancements, the logistics industry stands at the crossroads of unprecedented challenges and opportunities. Meeting the ever-growing demands of customers and ensuring the efficient movement of goods is no small feat. Fortunately, data science has emerged as a powerful ally, reshaping the logistics landscape in ways previously unimaginable...
Transforming Healthcare With Data Science
The healthcare industry is no stranger to groundbreaking advancements, from life-saving medications to cutting-edge medical devices. In recent years, another powerful force has been quietly revolutionizing healthcare: data science. By harnessing the potential of data, healthcare professionals are gaining unprecedented insights, improving patient outcomes, and driving innovation...
Ethical Considerations In Data Science
In an era dominated by data-driven decision-making, the role of data scientists carries significant weight. Armed with the ability to extract profound insights from vast datasets, they empower organizations to fine-tune their operations, craft personalized user experiences, and forecast future trends with remarkable accuracy. Yet, this newfound power is inextricably intertwined with an immense responsibility...
Increasing Educational Attainment Through Federal Pell Grant Funding
Implement machine learning models (Decision Tree, Support Vector Machine, Neural Network) from the Scikit-Learn library to predict if a given terrorist attack will be successful, resulting in 92% accuracy.
Predicting the Success of Terrorist Attacks in The United States
Implement machine learning models (Decision Tree, Support Vector Machine, Neural Network) from the Scikit-Learn library to predict if a given terrorist attack will be successful, resulting in 92% accuracy.
Customer Segmentation using Clustering Techniques (Python)
The goal of this project is to demonstrate the use of clustering techniques to segment customers using real-world data and provides insights into the strengths and limitations of different clustering methods.
Video Reccomender System.
The goal of this project is to develop a system that aims to assist movie enthusiasts in discovering new movies based on their preferences and interests. By leveraging the content-based filtering approach, the system enables users to receive recommendations that align with their tastes, resulting in an enhanced viewing experience.
Predicting the Location of Mass Shooting Events Based on Mental Health History and Crisis Indicators.
The goal of this project is to develop a predictive model that can identify potential locations for mass shooting events based on certain indicators, such as mental health history and signs of being in a crisis. The primary objective is to explore the relationship between these indicators and the likelihood of a mass shooting event occurring.
Developing Regression Models to Predict Car Prices (Scikit-Learn)
The goal of this project is to demonstrate the use of regression models to predict car prices using real-world data and provides insights into the strengths and limitations of different regression techniques.
Credit Card Application Classification using Machine Learning Models (Python)
The goal of this project is to demonstrate the use of classification models to predict credit card application outcomes using real-world data and provides insights into the strengths and limitations of different classification techniques.
Exploring and Visualizing COVID-19 Data using Python Libraries
The goal of this project is to demonstrate the use of Python libraries to visualize and explore real-world data and provides insights into the strengths and limitations of different visualization techniques.
Factors Affecting US Voters' Opinion on Increased Gun Control Legislation: Proximity to City as a Contributing Factor
The goal of this project is to provide valuable insights into the factors that influence US voters' opinion on increased gun control legislation, and highlight the importance of considering proximity to a city when analyzing support for gun control legislation.