Analyzed data with specific algorithms (linear regression, k-nn, k-means) & evaluated and interpreted the error rates of the model (fit).
- Linear Model : ->Input: NHL Top 100 players ->Output: Fitted Linear models -> Processing: “lm” model of R, summary of metrics in a table and interpretation of the results.
- K-nn classification German credit data obtained from Kaggle.
- K-means clustering with Pew Data on Gaming , Jobs and Broadband