The project required to built a classification model to predict the functioning of water access points across villages in India based upon features provided.
- Binary Class Model required maximum accuracy for True Positives.
- Extracted data from Database using SQL query handler.
- Performed Univariate, Multi-variate, EDA, heat map and visual analysis on features to understand their relevance to finalize the features needed to go-in for building a model on python notebook.
- Used Logistic Reg, Decision Trees, Random Forest for modelling, Lasso & Ridge to address overfitting.
- Model gave 92% accuracy with SVM classifier with 95% for Precision.
