Finding the best suitable ML algorithm for any dataset is one of the needs of developers. So I made this small project, to find out the best-fit algorithm for any regression-based data. Data pre-processing is done in the beginning and data visualization using different graphs. Here I also proved that increasing the size of data does not always increase the accuracy of the model, it sometimes decreases. Here you can try any dataset(examples are uploaded) but it should be based on regression.
- ML Algorithms
- Data Pre-processing
- Data Visualization
- Accuracy of the Model