This my final assesment task from data mining subject in University of Indonesia. This is a group project which we are doing some descriptive, diagnostic, and predictive analysis about how the effect of student's background in the successful of campus acceptance.
- We are using kaggle dataset which can be access here https://www.kaggle.com/datasets/benroshan/factors-affecting-campus-placement.
- The techniques that are used including Exploratory Data Analysis (EDA), data visualization, and modelling technique in purposed to gain insights from that dataset.
- We found out that from the data, the results after secondary education or 10th grade is the most correllated with successful of campus acceptance.
There are many more insights that we found from EDA, data visualization, and modelling in our notebook so enjoy the reports!
Hope you find it useful!