AI for Data Science: Tools for Predictive Modeling
AI for Data Science: Tools for Predictive Modeling AI helps data scientists turn raw data into reliable predictions. With the right mix of tools, you can clean data, build models, and monitor results without getting lost in complexity. This guide lists practical tools you can use in real projects today. Data preparation and feature engineering Good data is the base for good models. Popular tools include Python with pandas and NumPy, and R with dplyr and data.table. Timely cleaning, handling missing values, and thoughtful feature engineering improve performance more than clever tuning alone. ...