Credit Card Fraud Detection
Objective
The objective of this project is to build the different machine learning algortihms for the credit card fraud detection. In this project various algortihms are applied to find the best model based upon the data.
The dataset can be download from here https://www.kaggle.com/mlg-ulb/creditcardfraud Download the dataset and put it in same file locatiom
Techniques Used
- Data Preprocessing
- Data Analysis
- Data Visualization
- Machine Learning Modeling
- Cross Validation
Algortihms Used
- Logistic Regression
- Support Vector Machine
Guide Lines
Packages and Tools Required:
Pandas
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook
Package Installation
pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib
Jupyter Notebook Installation Guide https://jupyter.org/install