Link for the video:

https://s3.us-east-1.amazonaws.com/blackboard.learn.xythos.prod/5a31b16bb2c48/3620041?response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27Data%2520Mining%2520Lecture%2520--%2520Decision%2520Tree%2520%2520Solved%2520Example%2520%2528Eng-Hindi%2529.mp4&response-content-type=video%2Fmp4&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20180920T160452Z&X-Amz-SignedHeaders=host&X-Amz-Expires=21600&X-Amz-Credential=AKIAIL7WQYDOOHAZJGWQ%2F20180920%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=1afe9539dc662c40dd98a00000dd61a8bf08d6c6a11f8d50af7ac2dc03a606ec

As you have read the chapter and watched the lecture on chapter 2 from your textbox, your assignment this week is using the following guidelines:

Watch the Well Academy Video titled Data Mining Lecture Decision Tree | Solved Example (Eng-Hindi). Approx. 30 min

Data Table

Day	Outlook	Temperature	Humidity	Wind	Play ball
1	Sunny	Hot	High	Strong	No
2	Rain	Cool	Normal	Strong	No
3	Sunny	Mild	High	Weak	No
4	Overcast	Mild	High	Strong	Yes
5	Rain	Cool	Normal	Week	Yes
6	Sunny	Hot	High	Weak	No
7	Overcast	Hot	Normal	Weak	Yes
8	Rain	Cool	Normal	Strong	No
9	Overcast	Hot	High	Weak	Yes
10	Sunny	Mild	Normal	Strong	Yes

Create a decision tree using the data above using the Information Gain, Entropy E(A), and Gain (A) formulas shown in the video above. Make sure you show you work in this document.