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✳️Download the Notes & Data Set - https://www.theiscale.com/course-details/free-data-science-course steps to download dataset 1)Register on the website 2)Login 3) Enroll into the Free Data Science Course 4) Uber Data analysis Project - Download Notes 12:49 - 16:33 - Download the notes and data set of the project For any query connect in WhatsApp with us: https://wa.me/917880113112 Timestamps 00:00 - 01:16 - Introduction of the Project 01:17 - 12:48 - Understanding the data set and business case study of Uber 12:49 - 16:33 - Download the notes and data set of the project 16:34 - 18:52 - Uploading the dataset and importing libraries 18:53 - 25:11 - Handling the missing values 25:12 - 37:36 - Data Cleaning and Preprocessing 37:37 - 41:19 - In which category do people book the most Uber rides? 41:20 - 44:19 - For which purpose do people book Uber rides the most? 44:20 - 46:00 - At what time do people book cabs the most from Uber? 46:01 - 54:12 - In which months do people book Uber rides less frequently? 54:13 - 01:01:09 - On which days of the week do people book Uber rides the most? 01:01:10 - 01:09:50 - How many miles do people usually book a cab for through Uber? 01:09:51 - 01:13:11 - Conclusion of the project Unlock insights from Uber's data in this comprehensive analysis! In this video, we explore key trends and patterns within Uber's ride-sharing data, including ride frequencies, peak hours, pricing models, and geographical trends. ❇️ 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/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1 #DataScience #uber #DataAnalysis #Python #MachineLearning #EDA #DataVisualization #StatisticalAnalysis #TechEducation #DataScienceProject #FoodIndustry #ai
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