Create Hotel Data Card.py

Hotel Data Card.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+
+st.title('''
+🏨 Hotel Data Analysis & 🤖 Machine Learning: Predicting Customer Preferences and Optimizing Pricing 📊
+''')
+st.markdown('''
+
+🏨 **Hotel Data Analysis and Machine Learning Project**  
+
+📊 **Data Exploration and Preprocessing**:  
+- 🧹 Cleaning and preparing data by handling missing values, encoding categorical features like *"category"* and *"location,"* and normalizing numerical data such as *"price"* and *"rating."*  
+- 🔍 Analyzing trends in **customer reviews**, **cashback offers**, **discounts**, and **free services** to identify influential factors.  
+
+🤖 **Predictive Modeling**:  
+- 🎯 **Target Variable**: Predicting key metrics like *price category*, *likelihood of cancellation*, or *hotel ratings.*  
+- 🛠️ **Model Selection**: Building ML models such as **Decision Trees**, **Random Forests**, or **Gradient Boosting** for classification or regression tasks.  
+- 💡 **Feature Engineering**: Extracting insights from **review text** (via text sentiment analysis) or **free services** (binary encoding).  
+
+📈 **Model Evaluation**:  
+- 📊 Comparing model performance using metrics like **accuracy**, **F1 score**, or **RMSE**, depending on the task.  
+- ⚙️ Employing techniques like **hyperparameter tuning** and **cross-validation** for optimization.  
+
+💼 **Insights and Deployment**:  
+- 🔑 Unveiling actionable insights from **feature importance** to guide hotel marketing and pricing strategies.  
+- 🌐 Deploying the model in a user-friendly interface to support stakeholders in making real-time decisions.  
+
+By integrating 🧠 **machine learning** with 📊 **data analysis**, this project empowers hotel businesses to enhance customer satisfaction, optimize pricing strategies, and maximize profitability.  
+
+---  
+
+Let me know if this works or needs further edits! 😊
+''')