Determine the best Classification model.**

We do this by Using the following ML models and hypertunning the models:

1. KNN

• Find best K value
• create pipeline and cross validated
• Fit the model with a range of K values
• Model prediction

2. Logistic Regression

• create pipeline and cross validated
• Model prediction

3. SVM

• Find initial SVC
• Then grid search prams(Find best parameters)
• Pipeline cross validated
• Fit model with a range of parameters
• Model Prediction

4. Random Forests

• Grid search prams(Find best parameters)
• Pipeline cross validated
• Fit model with a range of parameters
• Model Prediction

Link to App

Link to Github Repository

Link to Blog post