Data-driven analysis of Nigeria's national power grid using 731 days of generation data (2023-2024). Includes preprocessing, statistical testing, trend analysis, and anomaly detection.
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Updated
Mar 26, 2026 - Jupyter Notebook
Data-driven analysis of Nigeria's national power grid using 731 days of generation data (2023-2024). Includes preprocessing, statistical testing, trend analysis, and anomaly detection.
Data analysis (hypothesis testing, visualization, survival analysis) and machine learning (clustering, classification) on RNA-Seq, mutation and clinical data to explore the correlations between certain gene mutations and clinical outcomes
This project demonstrates the implementation of the Backward Elimination feature selection technique using Multiple Linear Regression in Python.
This repository contains a copy of my final MS thesis and poster, completed at Monash Uni in S1 2021.
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