Integrating Machine Learning Models for Predictive Analysis in Water Quality Assessment

10 June 2024
6:00 AM (CDT)

The water quality project utilized the application of Python to analyze water quality datasets to assess potability. The datasets were obtained from the Kaggle data repository. The data obtained were various physical and chemical parameters associated with water quality such as pH, hardness, sulfate, chloramine, etc. The objective is to predict water potability, make informed decisions about water treatment processes, and ensure compliance with water quality standards.

Machine learning techniques are applied to the datasets to achieve these goals. The data is explored using Python code on Jupyter Notebook through exploratory data analysis (EDA). The data was cleaned and visualized to understand its individual and relational characteristics. A prediction analysis was performed where the data was split into training and testing sets. Then a decision tree classifier was trained and evaluated using performance metrics. Hyperparameter tuning is performed to optimize the model. Additional visualization and analysis such as feature importance, ROC and PR curves, distribution plots, etc. are applied to the datasets to gain more insights and to enhance the representation of results. The project demonstrates the application of machine learning to assess water potability and inform stakeholders about water safety.

Speaker Bio

Victoria Ihenetu

Victoria Ihenetu is a lover of God, and a National Youth Corps Member currently serving in Nasarawa State, Nigeria. She recently earned her degree in geology with a specialization in geophysics. Her academic venture has not just been a culmination of studies, but a gateway to a world teeming with opportunities and challenges. Beyond the confines of traditional geoscience, she has woven a diverse set of skills: a junior machine learning developer, data scientist, trained data analyst, content writer, spoken word artist, and graphics enthusiast. This multifaceted skill set reflects a deep-seated passion for merging scientific understanding with technological innovation.

The proudest feather in her cap is the Hydro Envision Hub, a brainchild dedicated to advancing knowledge and creating groundbreaking solutions for contemporary water-related challenges. Founding this hub wasn’t just about establishing a platform; it was a commitment to empowering the next generation with the tools needed to navigate the complexities of global water sustainability. Through innovation, research, and advocacy, we aim to make a lasting impact on the world’s water supply.

Her journey has taken her across borders, from winning accolades at the EEE student presentation contest in Ohio, United States to active participation in conferences and webinars globally. Engagements with organizations like NAPE, the Nigeria Mining and Geoscience Society, and the Society of Exploration Geophysicists have enriched her academic pursuits.
Writing, another passion of hers, was acknowledged with a prize for the best book title, and her first story book published on Amazon. This recognition was a testament to her commitment to pushing the boundaries of what’s achievable in her fields of interest. Research projects and presentations have become avenues for exploration, consistently pushing the limits of knowledge.
In the domain of technology, she wears the badge of a Google Student Developer and I4G student member. Her active volunteering with She Code Africa, resulted in being one of the top 10 finishers in a competitive event, earning a laptop scholarship.

As she stands at the intersection of science and technology, she is eager to connect with experts, academics, and enthusiasts who share a similar fervor for geology, geophysics, hydrogeology, data science, and beyond. Together, let’s forge a path of exploration and development, where science meets innovation.