Feature engineering is a crucial aspect of data science, enabling researchers to identify relevant variables and improve predictive modeling accuracy. But the process of feature engineering can be complex and time-consuming, making it challenging for many data scientists to achieve optimal results. At Data Science Connect, we explore how to simplify feature engineering using machine learning and predictive modeling.
Discover how machine learning algorithms can be used to automatically identify relevant variables and create new features from existing data. Learn how predictive modeling can be used to evaluate feature importance and optimize model performance. Explore the latest trends in feature engineering, machine learning, and predictive modeling.
Join the conversation on simplifying feature engineering in data science, and learn from top experts at Data Science Connect.
Kajanan Sangaralingam
Head of Data Science | Mobilewalla