The goal of this project is to analyse the McDonald's Menu Nutrition.
I have Downloaded this dataset from kaggle website. Here is the link: https://www.kaggle.com/datasets/deepcontractor/mcdonalds-india-menu-nutrition-facts
- Imported all the required libraries and dataset for this project.
- Exploratory Data Analysis and Visualizing different aspects of the dataset.
- Finding number of observations and outliers in the dataset.
- Plotting different attributes of the dataset.
- Model created.
- numpy.
- pandas.
- matplotlib.
- seaborn.
- sklearn
- Chicken Cheese Lava Burger has highest kiloCalories of Energy.
- Chunky Chipotle American Burger Chicken has highest grams of Protein
- Chicken Cheese Lava Burger has highest Total grams of fat
- McSpicy Premium Chicken Burger has highest grams of Saturated Fat
- Chocolate Oreo Frappe has highest grams of Trans fat
- Ghee Rice with Mc Spicy Fried Chicken 1 pc has highest miligrams of Cholesterols.
- Seven Machine Learning Models are created.
| Sl. No. | Models | Accuracy Scores |
|---|---|---|
| 1 | AdaBoot Regression Algorithm | 0.991977556232862 |
| 2 | GradientBoosting Regression Algorithm | 0.9999999963266836 |
| 3 | Random Forest Regression Algorithm | 0.959297326371577 |
| 4 | Bagging Regression Algorithm | 0.9441542909866394 |
| 5 | SGD Regression Algorithm | 0.9999997421011699 |
| 6 | Lasso Regression Algorithm | 0.9996099594664937 |
| 7 | Ridge Regression Algorithm | 0.9998811057332703 |
- GradientBoosting Regression Algorithm is the best fitted Model as it gave the best predicted score.
- Created by @Nirvik07, HRSoc 2022