titanic

Data Loading & Preprocessing

Import datasets from CSV, Excel, APIs, or databases (e.g., Pandas, SQL queries).

Clean data (handle missing values, outliers) and normalize/standardize features.

Exploratory Data Analysis (EDA)

Visualize distributions, correlations (Matplotlib/Seaborn).

Statistical summaries (mean, variance, skewness).

Machine Learning Modeling