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MGTS 417: Knowledge Discovery and Data Mining (Independent Study)
Project Type
Python, PowerBI
Date
June 2023
Types of Applications
PowerBI, Python, Anaconda, Mircosoft 365
Role
Data Analyst
Python Packages
Logistic Regression, Decision Tree, Random Forest, Clustering, Naive Bayes, GaussianNB, MultinominalNB, KNN, Fcluster, Kmeans, GradientBoostingClassifier, AdaBoostClassifier, ExtraTreesClassifier,
BaggingClassifier, train_test_split
This independent study allowed me to explore my passion for data mining and machine learning. Inspired by the potential challenge to uncover hidden patterns in data, I undertook a Python project analyzing video game data. I created interactive PowerBI dashboards to visualize the data and experimented with various machine learning techniques, including supervised and unsupervised learning to extract valuable insights. This experience deepened my understanding of advanced data analysis methods.
Click on the dashboards for more details, NOTE this does not work on mobile sorry for the inconvenience!
