PptxGenJS Presentation

[Audio] " Hello everyone! Today, I'll explore how machine learning helps catch credit card fraud, making transactions safer.".

[Audio] "I studied different computer programs to see which ones are best at finding credit card fraud. The best ones were MLP Classifier and Ensemble Methods. They were over 99% accurate. The amount of money spent and where people buy things were important clues. It's also important to keep people's information safe and be fair.".

[Audio] "Some people try to steal money by using fake credit card transactions. This study aims to make a strong system using computers to stop this. We want to test different computer programs like Logistic Regression and Random Forest to see how well they find fraud.".

[Audio] "It's very important for banks to keep people's money safe. Finding fraud not only saves banks money but also protects people's identity. Using smart computer programs can help catch fraud quickly and keep everyone's money safe.".

[Audio] "I used a set of data from 2023 that had information about credit card transactions. This data was anonymous to protect people's privacy. So in this slide we looked at this data closely to understand how best to build our fraud detection models.".

[Audio] "In this silde we looked that I used different types of computer programs to find fraud. Logistic Regression looks at patterns in transactions. Random Forest handles complex relationships. MLP Classifier and Ensemble Methods use deep learning to find very detailed patterns in transactions.".

[Audio] "The computer programs showed good results: Logistic Regression: Accurate about 96.54% of the time. Random Forest: Accurate about 94.04% of the time. MLP Classifier: Accurate about 99.96% of the time. Ensemble Methods: Accurate about 99.88% of the time.".

[Audio] "Important things that help find fraud include how much money is spent, where people buy things, when transactions happen, and where transactions take place. These clues help spot unusual or fake transactions.".

[Audio] "Some computer programs made very few mistakes in finding fraud. The MLP Classifier and Ensemble Methods were very accurate. Traditional methods like Logistic Regression had more mistakes compared to these advanced methods.".

[Audio] "I made charts to see how well our computer programs found fraud. These charts helped us see which programs were good at telling the difference between real and fake transactions.".

[Audio] "I found that newer computer programs like MLP Classifier and Ensemble Methods were better at finding fraud than older ones like Logistic Regression. They were more accurate and made fewer mistakes. The amount of money spent and where people buy things were important clues for finding fraud.".

[Audio] "These computer programs help banks find fraud faster and more accurately. This means less money lost and safer accounts for people. It also means banks can work better and keep their customers happy.".

[Audio] "It's important to keep people's information safe. We used strong security and didn't share anyone's personal details. We also made sure our computer programs were fair and didn't treat anyone differently. Being clear about how we use people's information helps build trust.".

[Audio] "In conclusion, advanced computer programs like MLP Classifier and Ensemble Methods are very good at finding credit card fraud. They are accurate and fast. Knowing how much money is spent and where people buy things helps us find fraud better. Using these programs makes banking safer for everyone.".