Red Hats Final Submission.

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+# I Hacked-LA-2023
+- "submit" your work by creating a pull request as detailed in the README.md.
+
+List your group members:
+> Your Group Members: Jun He Cui, Bowen Cui, David Newn, Hanaa Abdelrahim, Hussein Al Aaref. 
+
+# This Project
+> Link to presentation: https://docs.google.com/presentation/d/1W6FSQ-flBhnVUayrV7y_IklR6SGqg-IwAPrF4_Zm5bU/edit?invite=CMiq5NYL#slide=id.p
+
+> Give a brief description of the final product:
+- We have created a regression to predict the final grade of a student based on the Total Discussion Character Length.
+
+# Reflection
+## Approach
+> What was your approach to the dataset? What problem did you want to solve? What technology did you decide to use? How did your team split the work?
+- We started with cleaning the dataset and plot some of the features to get some insightes on the data. 
+- We wanted to predict the study time needed for a student to achieve a certain degree based on time spent and engagment on Canvas. 
+- We have used python and few useful liberaries like pandas, matplotlib, ...etc. also we have used Git and GitHub to facilitate the teamwork. 
+- We split the work in four different ways. some members worked on cleaning, others on data visulaizations, and others on brain storming ideas.  
+
+
+## Wins / Challenges
+> Describe some wins / challenges. What did you learn? What would you do differently next time?
+- We have learned new skills in data visualization and Git and GitGub control. defentely, trying to get insights from the data was the most challanging part. 
+For next time, we would spend more time on data cleaning and merging datasets. also, we would make more plots to make the data clearer.