KCA_DataScienceProjects

This Repo is for all Data Science Projects at KCA

Project 1

Diabetes Machine Learning

Project 2

Student Exam Performance Prediction

• This project aims to predict student exam performance based on demographic information and study behavior using machine learning techniques.
• The dataset used is the Student Performance Data Set from the UCI Machine Learning Repository.

The project includes

• data preprocessing,
• feature selection,
• model training, evaluation,
• visualization of results.

The models trained include

• Logistic Regression
• Decision Tree,

The trained models are saved for future use, and the project can be found on GitHub for further exploration.

The project structure includes:

• Data Preprocessing: Loading, cleaning, and exploring the dataset
• Feature Selection/Engineering and Data Splitting
• Model Training: Using Logistic Regression and Decision Tree algorithms
• Model Evaluation: Using accuracy, F1-score, and confusion matrix

Expected Further Analysis

• The project can be extended by
  • exploring additional features,
  • trying different algorithms, or
  • tuning hyperparameters for better performance.