Comparative Study on Machine Learning Algorithms

About

In this project, I have analsyed several datasets using regression and classification algorithms. These algorithms are:

  • Linear Regression, Polynomial Regression, Ridge Regression, Lasso Regression, Support Vector Regression, Decision Tree Regression and Random Forest Regression.
  • Logistic Regression, K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), Naive Bayes, Decision Tree Classification and Random Forest Classification.

Programming Language and Libraries

  • Python (numpy, pandas, matplotlib, seaborn, scikit-learn)

Content

Regression Analyses

1 - Boston Housing Regression Analysis -

2 - Toyota Corolla Regression Analysis -

3 - Medical Costs Regression Analysis -

Classification Analyses

1 - Red Wine Quality Classification Analysis -

2 - Glass Classification Analysis -