After Preprocessing and Visualizing the Data, we have created a few Prediction Models to detect the student's financial status, thereby deciding whether the student should be eligible to be granted a scholarship or not.
This data is about survey crowdsourced from the parents regarding their children’s educational conduct Venezuela and its states. Based on the dataset given, we have attempted to Predict whether a particular student should be granted a scholarship after examining his/her financial status. Data source : https://data.humdata.org/dataset/openonetimecovideducation_impactThis dataset can also be found on Kaggle : https://www.kaggle.com/datasets/leventoz/covid19-education-impact-survey
For predicting whether a student should be granted a Scholarship, we have created two models using:
1. A Neural Network with 2 Hidden Layers & an Output Layer.
2. Logistic Regression Algorithm
Extra Algos used for Cross Checking the Prediction Accuracy:
(1) Support Vector Machine
(2) Random Forest
(3) XGBoost