Data Collection Strategies

Collecting labeled data is crucial for developing commercially valuable machine learning models. While labeled data can be more challenging to obtain, creative solutions like scraping and inferring labels from existing datasets can streamline the process. If automation isn't feasible, consider manual labeling or outsourcing to create a unique dataset that sets your model apart from competitors.