Understanding the Data Science Lifecycle
Data Science Lifecycle
Every successful data science project follows a structured workflow called the data science lifecycle.
Major Stages
- Problem definition
- Data collection
- Data cleaning
- Exploratory data analysis
- Model building
- Model evaluation
- Deployment
Python Example
python
import pandas as pd
df = pd.read_csv("sales.csv")
print(df.head())
