csv_regression_n_classification
This repo provide comprehensive solution for searching best suit model for regression and classification using a utility python package called 'lazypredict'. This package produces training result of multiple models so that easy to compare and choose a suit model on givne dataset. Additionally, here I added data visualization to help getting insight of input data.
RESULT of MODEL TRAINING
- Classification
- Regression
DATA VISUALISATION
(Based on the heart attack dataset)
DEPENDENCY
- python==3.6
- lazypredict==0.2.12
- matplotlib==3.3.4
- numpy==1.19.5
- pandas==1.1.5
- Pillow==8.4.0
- scikit-learn==0.23.1
- scipy==1.5.4
- seaborn==0.11.2
DATA SOURCE
Classification: https://www.kaggle.com/code/lironb/heart-attack-analysis-prediction
Regression: https://www.kaggle.com/datasets/muthuj7/weather-dataset