Learn how to achieve a top 1% solution in the Santander Kaggle Transaction Competition without using ensemble methods. Follow along as the video guides you through obtaining the data, creating a simple neural network baseline, understanding and analyzing the dataset, modifying the neural network architecture, implementing feature engineering techniques, and making final improvements to achieve a high-scoring submission. Gain insights into effective problem-solving strategies for machine learning competitions and practical tips for improving model performance.