This project is a part of my Small Projects series with the objective of taking a practical approach into machine learning.
The purpose of this project is to predict wine quality based on different set of features. Using for this objective UCI ML White wine dataset
- Data Visualization
- Linear Regression
- Lasso Regression
- Random Forest
- Grid Search
- Cross validation
- Pandas
- Jupyter Notebook
- Scikit learn
- Scipy
- Exploratory Data Analysis on UCI wine dataset (under development)
- Regression for Wine quality prediction
- Stacking models and gradient boosting for wine quality prediction (backlog)