: Use NumPy arrays instead of loops to speed up code.
: Selecting an algorithm (like Linear Regression or Random Forest). Data Science Essentials in Python
: Scaling features, encoding categories, and splitting data. : Use NumPy arrays instead of loops to speed up code
: Use meaningful variable names (e.g., df_sales instead of df1 ). Data Science Essentials in Python
Mastering Python for data science is about building a solid foundation in the "Big Three" libraries and understanding the workflow. 🐍 The Core Toolkit