OSU Module 18 - Unsupervised Machine Learning
- Take raw data and make it easier to understand. Pre-process data into correct format with only numerical values.
- Group similar objects into clusters. For example, using a PCA model.
- Data Selection - making good choices about which data will be used.
- Data Processing - organizing the data by formatting, cleaning, and sampling it.
- Data Transformation - transforming our data into a simpler format for storage and future use, such as a CSV, spreadsheet, or database file.
- conda 4.12.0
- Python 3.7.11
- scikit-learn 0.24.2
- plotly 5.6.0
- pandas 1.3.4