My name is Joshua Rieck, and I am from metro Detroit, Michigan where I recently graduated with my master's degree in Data Science and Business Analytics from Wayne State University. Through my program of study, I learned advanced analytics techniques such as data visualization, data mining techniques, and machine learning using SQL, R programming, and Python. I am also working on teaching myself to use Tensorflow for deep learning techniques. If you are interested in learning more about Wayne State's Data Science program, click here.
I am a data science and business analytics graduate with a passion for solving complex problems through data-driven insights. My expertise lies in data visualization, data mining, and machine learning, with proficiency in SQL, R, and Python. I am dedicated to continuous learning and am currently expanding my knowledge in deep learning with TensorFlow.
- Pima Indians Diabetes: A Study of Imputation Methods and its Impact on Machine Learning Algorithm Performance
- This project evaluates and compares imputation algorithms on Pima Indians diabetes dataset using ML models to determine the best imputation method for each. It contains dataset, code, and analysis.
- Heart Disease Prediction
- This project evaluates the effects of feature reduction on the heart disease dataset using multiple machine learning models
This project is licensed under the MIT License.