📚 Awesome Feature Engineering
Throughout the years of data science development, the importance of feature engineering has become ever more apparent. To explore innovative approaches, I’ve been searching for exceptional work on Kaggle. Kaggle’s competitions have spanned various business sectors, predominantly focusing on: Financial Services: Predictive modeling for financial markets, such as market movement prediction and fraud detection, is popular due to its high industry relevance. Healthcare: Competitions involving medical imaging, disease prediction, and genomic data analysis are common, underscoring the growing role of AI in healthcare. Retail and E-commerce: Competitions often involve sales forecasting, customer satisfaction prediction, and personalization, reflecting industry needs for predictive insights. Agriculture and Environmental Science: Challenges like crop disease detection or satellite image analysis for environmental monitoring are typical in this category. Social Media and Marketing: NLP tasks such as sentiment analysis, customer review classification, and engagement prediction cater to social media platforms and marketing. Based on participation and community engagement, five of the most popular recent Kaggle competitions in the financial services and healthcare fields include: ...