https://github.com/alokkusingh/expense-catecorization

ML Expense Catecorization
https://github.com/alokkusingh/expense-catecorization

Last synced: 5 days ago
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ML Expense Catecorization

• Host: GitHub
• URL: https://github.com/alokkusingh/expense-catecorization
• Owner: alokkusingh
• License: mit
• Created: 2023-12-21T08:59:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-08-30T01:29:07.000Z (10 months ago)
• Last Synced: 2025-08-30T03:07:10.492Z (10 months ago)
• Language: Jupyter Notebook
• Size: 5.14 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# expense-catecorization

Expense Categorization Machine Learning Model Training

## Supervised Learning

### Classification

#### Logistic Regression

1. LogisticRegression algorithm is used in this model training

2. Model Success Rate

   | Model Name                         | Date            | Success Rate |

   |------------------------------------|-----------------|--------------|

   | LinearSVC                          | 21st Dec 2023   | 0.878791     |

   | LogisticRegression                 | 21st Dec 2023   | 0.873399     |

   | MultinomialNB                      | 21st Dec 2023   | 0.862100     |

   | RandomForestClassifier             | 21st Dec 2023   | 0.377510     |

   | -----------------------------------| --------------- |--------------|

   | LinearSVC                          | 27th Dec 2023   | 0.901199     |

   | LogisticRegression                 | 27th Dec 2023   | 0.890707     |

   | MultinomialNB                      | 27th Dec 2023   | 0.885331     |

   | RandomForestClassifier             | 27th Dec 2023   | 0.362772     |

   | -----------------------------------| --------------- |--------------|

   | LinearSVC                          | 24th Jul 2025   | 0.926181     |

   | LogisticRegression                 | 24th Jul 2025   | 0.925339     |

   | MultinomialNB                      | 24th Jul 2025   | 0.906969     |

   | RandomForestClassifier             | 24th Jul 2025   | 0.356479     |

   | -----------------------------------| --------------- |--------------|

   | LinearSVC                          | 25th Jul 2025   | 0.925844     |

   | LogisticRegression                 | 25th Jul 2025   | 0.925002     |

   | MultinomialNB                      | 25th Jul 2025   | 0.906800     |

   | RandomForestClassifier             | 25th Jul 2025   | 0.356142     |

#### Linear Regression

### Regression

## Unsupervised Learning

## Reinforcement Learning

# Jupyter Notebook

## Start Anaconda

## Launch Jupyter Notebook

## Open Notebook

http://localhost:8888/notebooks/git/expense-catecorization/ExpenseCategorization.ipynb

## Run

Kernel >> Restart & Run All