forecasting:meeting_minutes_november_4_2015

Attended: Seyyed, Travis, Jeremy

  • K-Nearest Neighbors
    • Implement KNN in KNN using a dataset from the Irivine's Machine Learning repository
    • Discuss how changing the number of neighbors affect the results
    • Compare the KNN algorithm to the Linear Regression algorithm
  • Cross Validation
    • Learned about Cross Validation
    • Used K-Fold and Fold to compare the algorithms and different values of neighbors
  • none
  • Continue to research on iPython and optimizing the code
  • Work with WeatherBox Data

Authors

Contributing authors:

travisnt

Created by travisnt on 2015/11/07 01:51.

  • forecasting/meeting_minutes_november_4_2015.txt
  • Last modified: 2021/09/19 21:59
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