Python Fraud Prediction: Machine Learning (& Analysis)

preview_player
Показать описание


Explore a complete Python data science project focused on credit card fraud detection. Learn how to perform Exploratory Data Analysis (EDA) using pandas, matplotlib, and seaborn, followed by building and evaluating a Random Forest Classifier model. This step-by-step tutorial is perfect for both beginners and experienced data scientists looking to enhance their skills.

Chapters:
1. Introduction
2. Installing Python & Jupyter Notebook
3. Data Loading
4. EDA
5. Feature Engineering
6. Random Forest Model
7. Evaluation

#DataScience #Python #MachineLearning #CreditCardFraud #EDA #RandomForest #DataAnalysis #Seaborn #Matplotlib
Рекомендации по теме
Комментарии
Автор

Checkout my store for go from Anyone to Analyst with interactive workbooks 🎉

TobysDataDigest
Автор

Have you thought about getting a better Microphone Toby? I think it would really elevate your content.

IDigestTheData
visit shbcf.ru