📥 Reading Data with read_csv()

Use Pandas to load CSV (Excel-like) datasets into Python:

import pandas as pd  
df = pd.read_csv("data.csv")

Note: Your file must be in the same directory (or provide full path).

🔍 Exploring the DataFrame

• df.head() – View first 5 rows
• df.tail() – View last 5 rows
• df.shape – Rows × Columns
• df.columns – Column names
• df.info() – Data types, null values
• df.describe() – Summary stats (mean, std, min, etc.)

These commands help you quickly assess the quality and quantity of your dataset.

💡 Tip:

Start every ML project by using df.info() and df.describe() to spot missing values, wrong data types, and outliers early.

📝 Self-Check

• How can you view the first 10 rows of a dataset?
• What command gives you column names?
• Which function summarizes mean, std, min, and max?