Tesla Roadster Analysis containing various scattered plots.

Describe about Telsa Roadster Dataset

1. Tesla Roadster Data Analysis on Facebook dataset

2. Team Members Roll No.: Name

3. Overview of Data Pseudo_facebook.csv This dataset contains 99903 entries with 15 columns. Column names are well defined so that everyone can interpret easily. Out of which we took 100 entries.

4. Why Choose this Data? Columns userid age dob_day dob_year dob_month gender tenure friend_count friendships_initiated likes likes_received mobile_likes mobile_likes_received www_likes www_likes_received

5. Summary of each feature The Data has No NaN values..

6. Data before EDA Gender is a categorical class

7. One Hot Encoding on gender

8. Visualization Here we conclude that more people are in their 20s

9. Day wise register of age

10. Month wise Register of Age

11. Scatter

12. Linear Regression Train Model for likes and mobile likes

13. Test Model Likes and Mobile Likes

14. Train Model on Likes and Tenure

15. Test Model for Likes and Tenure