Here i attempted a kaggle challenge where i used advance preprocessing techiniques and XAI (explainable Ai) to describe the preformance of my model Random Forest accuracy 78.7% This Repository contains
- test.csv and train.csv dataset files
- presentation slides as pdf
- google colab notebook that uses dataset from github
- RandomForestClassifier.ipnyb that gives submission_test.csv file accuracy 78.7%
- DecisionTreeClassifier.ipnyb that gives final_submission_test.csv file accuracy 50%
- submission_test.csv
- final_submission_test.csv
- ReadMe file