Effective Data: Partition
To train a good model, you need lots of data. Luckily, over the last few decades, collecting data has become much easier. However, there is little value to data if you use it incorrectly. Even if you double or triple the dataset manually or through data augmentation, without proper partition of data, you will be left clueless on how helpful adding more data was.