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📂 Download the notes & dataset https://github.com/TheiScale/YouTube-... Timestamp 00:00 - 02:22 - Introduction of the Project 02:23 - 09:07 - Understanding the data and problem statement 09:08 - 09:51 - Using Anaconda & Jupyter Notebook 09:52 - 10:51 - Uploading dataset and creating files 10:52 - 12:57 - Importing Libraries - Numpy, Pandas, Matplotlib and Seaborn 12:58 - 14:16 - Reading the CSV file on jupyter notebook 14:17 - 18:12 - Checking missing values in the dataset 18:13 - 25:28 - Handling Missing Values 25:29 - 29:21 - Removing Duplicates and EDA 29:22 - 30:25 - Descriptive Statistics 30:26 - 36:04 - What is the distribution of listing prices? 36:05 - 40:28 - How are different room types distributed? 40:29 - 43:20 - How are listings distributed across different neighborhoods? 43:21 - 45:36 - What is the relationship between price and room type? 45:37 - 47:47 - How has the number of reviews changed over time? 47:48 - 49:07 - Conclusion Dive into a real-world data science project as we analyze Airbnb data from start to finish! In this video, we’ll cover: ✅ Data Collection & Cleaning: Preparing Airbnb data for analysis. ✅ Exploratory Data Analysis (EDA): Identifying trends, patterns, and insights in the rental market. ✅ Visualization: Creating stunning charts and graphs to present findings. ✅ Feature Engineering & Model Building: Developing predictive models for price estimation. ✅ Insights & Conclusion: Key takeaways and actionable findings to optimize Airbnb listings. ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalyti... ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Query or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5... ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/de... #DataScience #MachineLearning #AirbnbAnalysis #Python #AI #datavisualization