Complete Data Science Project : iPhone Sales Analysis

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Dive into a complete Data Science project focused on analyzing iPhone sales data! In this comprehensive tutorial, we take you through every step of the process, from data collection to final insights, using powerful tools and techniques.

Timestamp
00:00 - 07:29 - Introduction of the Project
07:30 - 13:21 - Loading Dataset and importing libraries
13:22 - 16:47 - Data cleaning
16:48 - 23:42 - What are the top 10 highest-rated iPhones on Flipkart in India?
23:43 - 30:12 - How many ratings do the highest-rated iPhones on Flipkart have?
30:13 - 33:34 - Which iPhone has the highest number of reviews on Flipkart?
33:35 - 42:46 - What is the relationship between the sale price of iPhones and the number of ratings on Flipkart?
42:47 - 47:05 - What is the relationship between the discount percentage and the number of ratings of iPhones on Flipkart?
47:08 - 50:47 - Can you figure out the least expensive and most expensive iPhones in the Indian market, along with all their specifications?
50:48 - 53:16 - Conclusion of the project

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📊 What You’ll Learn:
Data collection and cleaning
Exploratory data analysis (EDA)
Visualizing sales trends with Python libraries
Identifying key factors driving sales
Predictive modeling to forecast future sales
💻 Tools Used:

Python for data processing and analysis
Pandas and NumPy for data manipulation
Matplotlib and Seaborn for data visualization
Scikit-learn for building predictive models
🔍 Real-World Application: This project will help you understand how to approach real-world data science problems, making you ready to tackle similar challenges in your career.

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Whether you're a beginner or an experienced data scientist, this project offers valuable insights and hands-on experience. Don't forget to like, share, and subscribe for more in-depth data science tutorials!

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