Created 3 years ago
Predicting Wine Prices with Machine Learning
- In this project, I will be building a Machine Learning model to predict the price of wine (bottle) based on this wine reviews kaggle dataset, which itself is scraped from WineEnthusiast
Author: Rohan Dawar
dawar.rohan1@gmail.com
Website
Github
Jovian
Outline
1. Downloading The Dataset, OpenDatasets
2. Data Cleaning
3. Creating Word Columns
4. Scaling
5. Identifying Inputs & Targets
6. Encoding
7. Data Analysis
8. Train Test Val Split
9. Baseline Models
10. Ridge Regression
11. Ridge Regression Log
12. Lasso Regression
13. Lasso Regression Log
14. Decision Tree Regression
15. Decision Tree Regression Log
16. Random Forest
17. Random Forest Log
18. Gradient Boosting
19. Gradient Boosting Log
# Install Dependencies
!pip install opendatasets --quiet