Machine-Learning-Project

Fake Currency Detection using Logistic Regression Algorithm

About:

Fake Currency Detection is a real problem for both individuals and businesses. Some are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. Atleast for human eyes.

So by using Machine Learning Algorithm we can find this out.

Dataset:

data_banknote_authentication.txt

Algorithm Used:

Logistic Regression

Library & Packages used:

• Pandas

• NumPy

• seaborn

• sklearn

• matplotlib

Steps involved in the Project:

1. Reading dataset and assigning column names.
2. Data exploration - checking for missing values.
3. Checking the behaviour of data using pairplot.
4. Data processing - balancing the imbalanced data using imblearn.
5. Split the data to train and test the model.
6. Creating a ml model and trained it.
7. Model validation using Confusion Matrix.
8. Finally Prediction

Thank You.☻