Скачать с ютуб Data science project: fraud detection using machine learning (project for resume) в хорошем качестве

Data science project: fraud detection using machine learning (project for resume)

🔍 Excited to Share My Experience with Online Fraud Detection using Machine Learning Algorithms! 🚀🔒 Hey LinkedIn community! 👋 As someone passionate about data science and cybersecurity, I wanted to share my recent journey into the world of online fraud detection using machine learning. 🕵️‍♂️💻 🔹 **Algorithm Mastery**: Leveraging the power of Python, I dived into crafting an effective fraud detection system. I explored a range of algorithms including Decision Trees, Random Forests, Gradient Boosting, and even deep learning approaches like Neural Networks. Each algorithm had its strengths and nuances when it came to detecting suspicious activities. 🔹 **Model Building**: The heart of my project was building robust machine-learning models. I meticulously prepared and split my dataset, ensuring a balanced distribution of fraud and non-fraud cases. Then, the magic of model training began! I optimized hyperparameters, fine-tuned algorithms, and performed cross-validation to achieve reliable results. 🔹 **Challenges Overcome**: Of course, no journey is without its challenges. Imbalanced datasets, selecting appropriate evaluation metrics, and fine-tuning algorithms for optimal performance were some hurdles I had to tackle. In today's digital landscape, online fraud is a pressing concern. I'm thrilled to have combined my passion for machine learning and cybersecurity to contribute to a safer online environment. 🌐🤝 #MachineLearning #DataScience #FraudDetection #Cybersecurity #PythonProgramming #FeatureEngineering #ContinuousLearning🔍 Excited to Share My Experience with Online Fraud Detection using Machine Learning Algorithms! 🚀🔒 Hey LinkedIn community! 👋 As someone passionate about data science, I wanted to share my recent journey into the world of online fraud detection using machine learning. 🕵️‍♂️💻 🔹 **Algorithm Mastery**: Leveraging the power of Python, I dived into crafting an effective fraud detection system. I explored a range of algorithms including Decision Trees, Random Forests, Gradient Boosting, and even deep learning approaches like Neural Networks. Each algorithm had its strengths and nuances when it came to detecting suspicious activities. 🔹 **Model Building**: The heart of my project was building robust machine-learning models. I meticulously prepared and split my dataset, ensuring a balanced distribution of fraud and non-fraud cases. Then, the magic of model training began! I optimized hyperparameters, fine-tuned algorithms, and performed cross-validation to achieve reliable results. #MachineLearning #DataScience #FraudDetection #Cybersecurity #PythonProgramming #FeatureEngineering #ContinuousLearning Hello.This is a Kaggle link from where you can download the datasets https://www.kaggle.com/datasets/rupak... Get access to the full code here:- https://github.com/EngineerYoutuber/O...   / the-problem-of-detecting-online-fraud-in-t...