Data Science Project: Fraud Detection with Machine Learning in Python скачать в хорошем качестве

Data Science Project: Fraud Detection with Machine Learning in Python

Video Description: Welcome to this comprehensive Data Science project on Fraud Detection! In this tutorial, I walk you through the entire process of building a machine learning model to detect fraudulent financial transactions using Python. From data preprocessing and exploratory data analysis to model training and real-world predictions — everything is explained step-by-step. What you will learn in this video: 00:00 Introduction 00:15 Dataset overview and preprocessing 01:30 Exploratory Data Analysis with visualizations 03:00 Data scaling and encoding techniques 04:30 Model building with Logistic Regression 05:30 Model evaluation and accuracy 06:30 Real-world transaction prediction demo This project highlights how machine learning can help secure financial systems by detecting suspicious transactions efficiently. Whether you’re a beginner or looking to improve your data science skills, this video has practical insights and coding examples to boost your knowledge. Useful Links: 🔗 GitHub Repository: https://github.com/Nadish452007 🔗 LinkedIn Profile: https://www.linkedin.com/in/nadish-thiruku... Why watch this? Hands-on data preprocessing and cleaning Visualization techniques to understand fraud patterns Step-by-step model training and evaluation Real-time fraud prediction example If you find this video helpful, please LIKE, SHARE, and SUBSCRIBE for more data science projects and tutorials! 🔖 Hashtags: #DataScience #FraudDetection #MachineLearning #Python #LogisticRegression #DataScienceProjects #FraudDetectionProject