The Art of Soccer Strategy: Exploring Team Dynamics through Clustering

Network Analysis of Soccer Player Positions

In the realm of soccer, it can be important to understand the dynamics of the game…

Exploring Recipes using Network Analysis

Introduction:

Analyzing MLB Draft Trends Based on University

When choosing what school to attend to play baseball, players prefer schools…

Flying Colors: Similarity Analysis of Airports for Marketing Campaigns

Module IV: Unveiling Insights through Cluster Analysis thru Retail Data

Predicting a Soccer Player’s Overall Skill Rating through Cosine Similarity Analysis

In soccer analytics, understanding player performance and similarity is crucial for various stakeholders, including coaches, team managers, and scouts. One interesting question that I…

Module VI: Unraveling Customer Churn with Supervised Learning: A Data-driven Approach

Introduction:

In today’s competitive business landscape, understanding and predicting customer churn is paramount for companies to retain their customer base…

Supervised Learning with Fantasy Football

For my Module 6 Assignment, I thought it would be interesting to examing Fantasy…

Module III: The Strategies in Planning for a High School Decathlon

Tornado Clustering: Disaster Management Insights

Introduction:

Fast Cash: Regression Modeling for Car Price Prediction

Earthquakes Classification Model

Question: What earthquakes will be classified as “red alert”?

The stakeholder asking this question is an emergency personnel who has to alert others if there is an earthquake that hits the region.