Wine-Quality-Prediction

OBJECTIVE:

The repository is a learning excercise to:

• Apply the basic machine learning concept to an existing dataset.
• Train the model and predict the values for future.
• Creating a notebook and writing all computational records in it.

The analysis is divided into following sections:

• Importing the libraries and dataset
• Visualisation of dataset
• Splitting the dataset into training and test set
• Training the model on the training set
• Predicting the accuracy of different models

Data Used

https://www.kaggle.com/datasets/yasserh/wine-quality-dataset

Environment and Tools

• Jupyter Notebook
• Numpy
• Pandas
• Matplotlib
• Scikit-learn
• Seaborn
• Accuracy Score
• Classification Report