abhisheks008 · abhisheks008 · Jul 6, 2024 · Jun 29, 2024 · Jun 29, 2024
diff --git a/Fastag Fraud Detection System/Dataset/README.MD b/Fastag Fraud Detection System/Dataset/README.MD
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+# Dataset
+## Overview
+This folder contains the dataset used for the Fast Tag Fraud Detection project.
+
+- **File**: `dataset.csv`
+- **Description**: This CSV file includes Fastag transaction data, detailing various attributes such as vehicle type, toll booth location, transaction amount, etc.
+
+If the dataset is too large to upload here, please refer to the [link](https://www.kaggle.com/datasets/krishujeniya/fastag-frauds-records) to download it.
diff --git a/Fastag Fraud Detection System/Dataset/dataset.csv b/Fastag Fraud Detection System/Dataset/dataset.csv
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/corelation.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/corelation.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/corelation_graph.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/corelation_graph.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/data_visualization.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/data_visualization.png
diff --git a/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_1.png b/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_1.png
diff --git a/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_2.png b/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_2.png
diff --git a/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_3.png b/...ag Fraud Detection System/Images/Explanatory Analysis:/data_visualization_3.png
diff --git a/... Fraud Detection System/Images/Explanatory Analysis:/featuer transformation.png b/... Fraud Detection System/Images/Explanatory Analysis:/featuer transformation.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_graph.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_graph.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_implement.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_implement.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_shap.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/feature_shap.png
diff --git a/Fastag Fraud Detection System/Images/Explanatory Analysis:/shape.png b/Fastag Fraud Detection System/Images/Explanatory Analysis:/shape.png
diff --git a/Fastag Fraud Detection System/Images/README.MD b/Fastag Fraud Detection System/Images/README.MD
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+# Images
+
+## Overview
+This folder contains images generated during different stages of the project:
+
+## Structure
+-  `.eda` : Visualizations from exploratory data analysis.
+
+
+- `.explanatory_analysis`: Detailed charts explaining relationships and patterns.
+
+
+- `.feature_engineering`: Visuals created during feature engineering.
+
+
+- `.ml_deployment`: Images related to the model deployment.
+
+
+- `.ml_evaluation`: Actual vs predicted graphs and other evaluation metrics.
+  - `.Actual_vs_Predicted`: Comparison between actual and predicted values.
+
diff --git a/Fastag Fraud Detection System/Images/eda/Screenshot from 2024-06-15 12-41-19.png b/Fastag Fraud Detection System/Images/eda/Screenshot from 2024-06-15 12-41-19.png
diff --git a/Fastag Fraud Detection System/Images/eda/amount_distribution of fraud.png b/Fastag Fraud Detection System/Images/eda/amount_distribution of fraud.png
diff --git a/Fastag Fraud Detection System/Images/eda/box for cateogary.png b/Fastag Fraud Detection System/Images/eda/box for cateogary.png
diff --git a/Fastag Fraud Detection System/Images/eda/box for numeric.png b/Fastag Fraud Detection System/Images/eda/box for numeric.png
diff --git a/...raud Detection System/Images/eda/checkformissing and drop nulland nonunique.png b/...raud Detection System/Images/eda/checkformissing and drop nulland nonunique.png
diff --git a/Fastag Fraud Detection System/Images/eda/corelationmatrix.png b/Fastag Fraud Detection System/Images/eda/corelationmatrix.png
diff --git a/Fastag Fraud Detection System/Images/eda/corelationmatrix2.png b/Fastag Fraud Detection System/Images/eda/corelationmatrix2.png
diff --git a/Fastag Fraud Detection System/Images/eda/datatype.png b/Fastag Fraud Detection System/Images/eda/datatype.png
diff --git a/Fastag Fraud Detection System/Images/eda/describe.png b/Fastag Fraud Detection System/Images/eda/describe.png
diff --git a/Fastag Fraud Detection System/Images/eda/feature distribution.png b/Fastag Fraud Detection System/Images/eda/feature distribution.png
diff --git a/Fastag Fraud Detection System/Images/eda/fraud vs non-fraud.png b/Fastag Fraud Detection System/Images/eda/fraud vs non-fraud.png
diff --git a/Fastag Fraud Detection System/Images/eda/gethead.png b/Fastag Fraud Detection System/Images/eda/gethead.png
diff --git a/Fastag Fraud Detection System/Images/eda/getunique.png b/Fastag Fraud Detection System/Images/eda/getunique.png
diff --git a/Fastag Fraud Detection System/Images/eda/info.png b/Fastag Fraud Detection System/Images/eda/info.png
diff --git a/Fastag Fraud Detection System/Images/eda/unique1.png b/Fastag Fraud Detection System/Images/eda/unique1.png
diff --git a/Fastag Fraud Detection System/Images/eda/unique2.png b/Fastag Fraud Detection System/Images/eda/unique2.png
diff --git a/Fastag Fraud Detection System/Images/eda/uniqueness.png b/Fastag Fraud Detection System/Images/eda/uniqueness.png
diff --git a/Fastag Fraud Detection System/Images/eda/vehicle type.png b/Fastag Fraud Detection System/Images/eda/vehicle type.png
diff --git a/Fastag Fraud Detection System/Images/feature/define feature and encode.png b/Fastag Fraud Detection System/Images/feature/define feature and encode.png
diff --git a/... Detection System/Images/feature/definex,y..column transfer and train split.png b/... Detection System/Images/feature/definex,y..column transfer and train split.png
diff --git a/Fastag Fraud Detection System/Images/feature/dropcolumn.png b/Fastag Fraud Detection System/Images/feature/dropcolumn.png
diff --git a/Fastag Fraud Detection System/Images/feature/extracttime.png b/Fastag Fraud Detection System/Images/feature/extracttime.png
diff --git a/...g Fraud Detection System/Images/feature/feature transfer for model training.png b/...g Fraud Detection System/Images/feature/feature transfer for model training.png
diff --git a/Fastag Fraud Detection System/Images/feature/static conversion.png b/Fastag Fraud Detection System/Images/feature/static conversion.png
diff --git a/Fastag Fraud Detection System/Images/ml deployment/model deployment.png b/Fastag Fraud Detection System/Images/ml deployment/model deployment.png
diff --git a/...tem/Images/ml evaluation/actual vs predicted/actual vs fraud for each model.png b/...tem/Images/ml evaluation/actual vs predicted/actual vs fraud for each model.png
diff --git a/...ag Fraud Detection System/Images/ml evaluation/actual vs predicted/adaboost.png b/...ag Fraud Detection System/Images/ml evaluation/actual vs predicted/adaboost.png
diff --git a/...raud Detection System/Images/ml evaluation/actual vs predicted/decisiontree.png b/...raud Detection System/Images/ml evaluation/actual vs predicted/decisiontree.png
diff --git a/...ection System/Images/ml evaluation/actual vs predicted/kneighbourclassifier.png b/...ection System/Images/ml evaluation/actual vs predicted/kneighbourclassifier.png
diff --git a/... Fraud Detection System/Images/ml evaluation/actual vs predicted/rainforest.png b/... Fraud Detection System/Images/ml evaluation/actual vs predicted/rainforest.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/actual vs predicted/svm.png b/Fastag Fraud Detection System/Images/ml evaluation/actual vs predicted/svm.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/actual vs predicted/xgb.png b/Fastag Fraud Detection System/Images/ml evaluation/actual vs predicted/xgb.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/classification.png b/Fastag Fraud Detection System/Images/ml evaluation/classification.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/f1.accuracy,roc.png b/Fastag Fraud Detection System/Images/ml evaluation/f1.accuracy,roc.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model evaluation.png b/Fastag Fraud Detection System/Images/ml evaluation/model evaluation.png
diff --git a/...raud Detection System/Images/ml evaluation/model testing and hyperparameter.png b/...raud Detection System/Images/ml evaluation/model testing and hyperparameter.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_graph.png b/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_graph.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_result(2).png b/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_result(2).png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_result.png b/Fastag Fraud Detection System/Images/ml evaluation/model_evaluation_result.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model_performance.png b/Fastag Fraud Detection System/Images/ml evaluation/model_performance.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/model_performance_graph.png b/Fastag Fraud Detection System/Images/ml evaluation/model_performance_graph.png
diff --git a/Fastag Fraud Detection System/Images/ml evaluation/modeldefine_pipeline.png b/Fastag Fraud Detection System/Images/ml evaluation/modeldefine_pipeline.png
diff --git a/Fastag Fraud Detection System/Model/README.MD b/Fastag Fraud Detection System/Model/README.MD
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+# Model
+
+This folder contains the Jupyter notebook and associated files for the project.
+
+## Contents
+- **File**: `projectfile.ipynb`
+  - Contains all the steps of data exploration, feature engineering, model development, and evaluation.
+
+- **File**: `dataset.csv`
+  - The dataset used within the notebook for analysis and model training.
+
+
+- **File**: `model.pkl`
+  - The trained model saved in a pickle file format.
+  - Use this model for deployment or further analysis.
+  - Load the model using the following code:
+
+
+## Instructions
+1. Open the `projectfile.ipynb` to view the step-by-step workflow.
+2. Install the necessary dependencies listed in the `requirements.txt` file.
diff --git a/Fastag Fraud Detection System/Model/SVM_Fast_best.pkl b/Fastag Fraud Detection System/Model/SVM_Fast_best.pkl
diff --git a/Fastag Fraud Detection System/Model/dataset.csv b/Fastag Fraud Detection System/Model/dataset.csv