: Selecting an algorithm (like Linear Regression or Random Forest).
: The industry standard for data cleaning and "DataFrame" operations.
: Essential libraries for creating static and statistical visualizations. Data Science Essentials in Python
: The go-to tool for building and implementing machine learning models. 🛠️ The Standard Workflow
If you need a for a specific task (e.g., cleaning data, making a plot) : Selecting an algorithm (like Linear Regression or
A you want to start (e.g., stock price analysis, movie recommendations)
: The foundation for numerical computing and array manipulation. stock price analysis
: Checking for missing values, outliers, and correlations.