WoW Stats - Fictional online betting algorithm
24 Dec 2024
This was my capstone project at WGU. Sometimes I have a hard time coming up with a topic for a fictional project like this one and in this case I just used the first Kaggle dataset that looked interesting to me. I used to play World of Warcraft, so I was familiar with the topic and thought it would be a fun project. I thought that arena matches may be easy to predict based on class or class combination, but I was surprised to learn that race was the best predictor of a match outcome.
Languages, Libraries, and Environment
- Python
- sklearn
- pandas
- matplotlib
- Jupyter
Concepts
- Machine Learning
- Graphical Representation of Data
- Jupyter Notebooks
Requirements followed for this project
- One descriptive method and one nondescriptive (predictive or prescriptive) method
- Collected or available datasets
- Decision support functionality
- Ability to support featurizing, parsing, cleaning, and wrangling datasets
- Methods and algorithms supporting data exploration and preparation
- Data visualization functionalities for data exploration and inspection
- Implementation of interactive queries
- Implementation of machine-learning methods and algorithms
- Functionalities to evaluate the accuracy of the data product
Jupyter Notebook
Feedback is welcome and encouraged! Please leave a comment below: