How to Choose the Best ML Algorithm?

Selection Framework

1. Data Type: Tabular vs. Unstructured (Images, Text). Use tree-based models for tabular data and Deep Learning for unstructured data.
2. Explainability: If you need to explain decisions, choose Linear/Logistic Regression or Decision Trees.
3. Inference Latency: For real-time applications, simpler models or optimized tree frameworks (like LightGBM) are preferred.