Fraudulant Transaction Detection

● Data Wrangling, Exploratory Data Analysis, Statistical Analysis, Machine learning, Neural Networks, Python.

● Created and trained a Machine Learning model that can accurately detect fraud transactions.

● Developed a model that was able to detect 411 fraud transactions from 492 using Support Vector Machine

Name		Name	Last commit message	Last commit date
Latest commit History 77 Commits
Credit Card Fraud Detection (1).pdf		Credit Card Fraud Detection (1).pdf
Egor Consolidated Report 2 (1).pdf		Egor Consolidated Report 2 (1).pdf
Egor Machine Learning Application Report.pdf		Egor Machine Learning Application Report.pdf
Egor Statistical Data Analysis Report 2.pdf		Egor Statistical Data Analysis Report 2.pdf
Egor milestone report 2.pdf		Egor milestone report 2.pdf
Egor_Capstone_2.ipynb		Egor_Capstone_2.ipynb
Egor_ClassificationProblemML.ipynb		Egor_ClassificationProblemML.ipynb
Egor_Data _Wrangling_Report2.pdf		Egor_Data _Wrangling_Report2.pdf
README.md		README.md
autoencoder.jpg		autoencoder.jpg
dataidea.jpg		dataidea.jpg
datastory.jpg		datastory.jpg
istockphoto.jpg		istockphoto.jpg
ml.jpg		ml.jpg
panalys.jpg		panalys.jpg
python_ml_header.png		python_ml_header.png

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