Machine-Learning-Application-Series

Content:

1. Prediction

• Simple Linear Regression
• Multi Linear Regression
• Polynomial Regression
• Support Vector Machines
• Decision Trees
• Random Forest

2.Classsification

• Support Vector Machine
• Naive Bayes
• Decision Trees
• Random Forest

Data Sources will be given below.

1. Simple Linear Regression- House Price Prediction: https://www.kaggle.com/quantbruce/real-estate-price-prediction
2. Multi Linear Regression 3.Polynomial Regression