Banking Customer Churn Prediction Project in Hindi | Machine Learning with Jupyter Notebook скачать в хорошем качестве

Banking Customer Churn Prediction Project in Hindi | Machine Learning with Jupyter Notebook

Banking Customer Churn Prediction Project in Hindi | Machine Learning with Jupyter Notebook 🔍 About This Video: Welcome to this hands-on machine learning project tutorial in Hindi! In this video, we will build a Banking Customer Churn Prediction Model using Python in Jupyter Notebook. This is a complete end-to-end project where we’ll walk you through real-world data analysis, preprocessing, model building, and evaluation. 📌 What You’ll Learn: What is customer churn and why it matters for banks Data exploration and visualization Feature engineering and preprocessing Applying Label Encoding & One-Hot Encoding Splitting data into training and test sets Implementing machine learning models (Logistic Regression, Random Forest, etc.) Evaluating the model (accuracy, precision, recall, F1-score) Predicting customer churn with real insights 📁 Tools & Libraries Used: Python Pandas NumPy Matplotlib & Seaborn Scikit-learn (sklearn) Jupyter Notebook 🎯 Whether you are preparing for interviews, working on academic projects, or just learning machine learning — this video will help you understand how to solve a real-world problem using ML techniques in Hindi. 👍 Don’t forget to Like, Share & Subscribe for more practical ML projects and tutorials in Hindi! #MachineLearning #CustomerChurnPrediction #MLProject #BankingData #PythonProject #HindiTutorial #JupyterNotebook #DataScience #MachineLearningHindi #CustomerChurn #ChurnPrediction #PythonInHindi #MLInHindi