CIS4780-A1

K-Nearest Neighbors, Linear Regression, and Logistic Regression

Assignment Grade: 100%

This assignment is entirely implemented in the Jupyter Notebook.

Part 1: K-Nearest Neighbours Classification Implementation

• Required Files:
  • KNNClassifierInput.csv
  • KNNClassifierOutput.csv

Part 2: Linear Regression Model Implementation Using PyTorch and Sci-Kit

• Required Files:
  • LinearRegression.csv
  • LinearRegressionTarget.csv

Part 3: Logistic Regression Model Implementation Using PyTorch and Sci-Kit

• Required Files:
  • LogisticRegression.csv

Part 4: K-Nearest Neighbours Vs. Logistic Regression Model

• Required Files:
  • KNNClassifierInput.csv
  • KNNClassifierOutput.csv