Hello Everyone I am just trying to learn how to use git-hub, since i am dumb i am trying to just learn what happens when i do something. I dont know if the actual owner will be offended The entire project is different ways of predictive modelling based on "Loan-Prediction" In this case Study u will Learn everything such as :
- Binary Classification
- Multiclassification
- Univariant Anlaysis
- Missing Values and Outliers Treatements
- Bivariate Analysis
- Model Building
- Logistic Regression using stratified k-folds cross validation
- Feature Engineering
- Logistic Regression
- Decision Tree
- Random Forest I am putting it here for the sake of learning, by tweaking each elements one at a time and seeing what changes. If you are a novice like me, You can let me know your questions so that i will have more questions to think on, maybe i will have no answers.