Objective: This repo is a project of an attempt to explain basic data science concepts to begginer data scientists employing Streamlit for interactivity.

Concepts cover: Overfitting, Regularization, Neural network, Difference between svm and logistic regression, Accuracy Vs Recall/ etc and the confusion matrix, ROC and AUC, Profitability curves, Lift and others.

This project is still ongoing.