https://github.com/muhammadmoeezkhan/k-nearest-neighbor-algorithm

Python Program That Implements The K-Nearest-Neighbor Algorithm
https://github.com/muhammadmoeezkhan/k-nearest-neighbor-algorithm

data-mining k-neighbors pandas python-visualization

Last synced: 21 days ago
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Python Program That Implements The K-Nearest-Neighbor Algorithm

• Host: GitHub
• URL: https://github.com/muhammadmoeezkhan/k-nearest-neighbor-algorithm
• Owner: MuhammadMoeezKhan
• Created: 2022-10-12T04:06:16.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-07T00:57:59.000Z (over 3 years ago)
• Last Synced: 2025-03-18T04:34:16.473Z (about 1 year ago)
• Topics: data-mining, k-neighbors, pandas, python-visualization
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# K-Nearest-Neighbor Algorithm

#### Project delves into implementing the K-Nearest-Neighbor Algorithm by fitting and predicting target attributes via making testing and training data sets for k-fold cross validations and 1-NN Algorithims using Python libraries and custom Python classes!

#### While we will be working with the k-Nearest Neighbor algorithm in various ways, we will also implement methods for data pre-processing, debugging, model evaluation, normalization, standardization, and visualization to create, evaluate, and optimize a data mining algorithm as applied to a real-world dataset.




Project Utilizes:

- Pandas

  - Series/Dataframes

  - Loaded Operators

  - Higher Order functions

- NumPy

  - linalg module

- SciPy

  - distance module

- Sklearn

  - BaseEstimator module

  - ClassifierMixin module

- Timeit

  - default_timer() method

- Visualization

  - seaborn module

  - matplotlib.pyplot module

- Python kNN Algorithim

  - sklearn.neighbors module




Project Features:

- Project delves into several different ways to implement the 1-NN Algorithim

- Project delves into several different ways to implement the K-Nearest-Neighbor Algorithm

- Different algorithms are timed to help determine which method of implementing the K-Nearest-Neighbor Algorithm is the most efficient.

- Algorithm plotted visualizations to see the impact on the algorithm's duration and efficiency.