🍽️Restaurant Customer Satisfaction : SMOTE, Decision Tree, GridSearchCV , Imbalanced Data🤖

🍽️Restaurant Customer Satisfaction Classification Using Machine Learning: SMOTE, Decision Tree, and GridSearchCV 🤖

Welcome to our in-depth tutorial on building a machine learning model to classify restaurant customer satisfaction! In this video, we'll walk you through the process of creating a robust classification model using SMOTE for handling imbalanced data, Decision Tree for classification, and GridSearchCV for hyperparameter tuning.

🚀 *What You'll Learn:*
How to handle imbalanced datasets using SMOTE (Synthetic Minority Over-sampling Technique).
Building a Decision Tree classifier to predict customer satisfaction.
Fine-tuning the model's performance using GridSearchCV for optimal hyperparameters.
Evaluating the model with various metrics to ensure its effectiveness.

📚 *Why This Project?*
Customer satisfaction is crucial for the success of any restaurant. By leveraging machine learning, we can gain valuable insights and predict customer satisfaction, enabling better decision-making and enhanced service quality.

🔧 *Step-by-Step Guide:*
1. **Data Preparation**: Import and clean your dataset, handle missing values, and perform exploratory data analysis (EDA).
2. **Handling Imbalanced Data**: Use SMOTE to balance the dataset and ensure the model performs well on minority classes.
3. **Building the Model**: Implement a Decision Tree classifier and understand its workings.
4. **Hyperparameter Tuning**: Utilize GridSearchCV to find the best hyperparameters and improve the model's accuracy.
5. **Model Evaluation**: Assess the model's performance using accuracy, precision, recall, and other relevant metrics.

🎉 **Get Hands-On Experience**:
Follow along with our practical examples and exercises to gain hands-on experience. By the end of this tutorial, you'll have a solid understanding of how to build and optimize a customer satisfaction classification model.

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👍 *Ready to dive into customer satisfaction classification using machine learning?* Give this video a thumbs up, share it with your friends, and let's embark on this exciting journey together!

#MachineLearning #CustomerSatisfaction #DecisionTree #SMOTE #GridSearchCV #DataScience #PythonProgramming #AI #TechTutorials #RestaurantAnalytics

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**Resources**:
Sample Dataset: https://www.kaggle.com/datasets/rabie...
[Scikit-Learn Documentation](https://scikit-learn.org/stable/docum...)
[SMOTE Documentation](https://imbalanced-learn.org/stable/r...)


Feel free to ask any questions in the comments, and let's start building!