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.
- Python (numpy, pandas, matplotlib, seaborn, scikit-learn)
1 - Boston Housing Regression Analysis -
2 - Toyota Corolla Regression Analysis -
3 - Medical Costs Regression Analysis -