Data Analytics

Dive into a collection of data analysis projects showcasing data acquisition, cleaning, wrangling, visualization, and predictive modeling.

Leveraging Machine Learning: Unveiling Donor Behavior Insights for Effective Fundraising Strategies
Uncategorized

Leveraging Machine Learning: Unveiling Donor Behavior Insights for Effective Fundraising Strategies

In the realm of philanthropy, understanding donor behavior stands as a cornerstone for sustainable fundraising initiatives within church and nonprofit organizations. Today, the integration of machine learning algorithms unveils a treasure trove of insights, enabling a deeper understanding of donor patterns and the ability to predict future contributions with remarkable accuracy. Machine learning, with its…

Embracing AI: Revolutionizing Community Engagement for Churches and Nonprofits
Uncategorized

Embracing AI: Revolutionizing Community Engagement for Churches and Nonprofits

In today’s digital landscape, community engagement stands as a vital component for the success and impact of church and nonprofit organizations. Embracing the transformative power of Artificial Intelligence (AI) ushers in a new era of connection and participation, revolutionizing the ways these entities interact and engage with their communities. AI-powered tools offer a plethora of…

Python

IMDb Rating ML Regression Model

Research Question What is the anticipated IMDb (Internet Movie Database) rating a movie can achieve by leveraging a set of explanatory variables extracted from a popular movie database? IMDb.com is the largest internet movie database, featuring popular user ratings, reviews for movies and shows, and more. Ranked as the 52nd most visited website in 2019,…

Data Mining – CLASSIFICATION ANALYSIS
Data Mining | Python

Data Mining – CLASSIFICATION ANALYSIS

Research Question Which variables show the highest likelihood of customers leaving the company, based on three explanatory variables from the churn database. The ‘churn’ variable is the target variable. Goal Using known variables within a dataset, analysts can predict which customers are more likely to leave in the future by using KNN classification. This is…

Machine Learning Regression Model

What is the anticipated IMDb (Internet Movie Database) rating a movie can achieve by leveraging a set of explanatory variables extracted from a popular movie database?

Python – Classification Model

knn CLASSIFICATION ANALYSIS

Using known variables within a dataset, analysts can predict which customers are more likely to leave in the future by using KNN classification.