Data Collection: Gathering and organizing data from various sources.
Understanding Data: Interpreting data to comprehend its meaning and relevance.
Exploratory Data Analysis (EDA): Analyzing data sets to summarize their main characteristics, often using visual methods.
Data Visualization: Creating charts, graphs, and other visual tools to represent data insights effectively.
Build Model: Developing predictive or classification models using statistical and machine learning techniques.
Evaluate Model: Assessing the performance of models using metrics and validation techniques to ensure accuracy and reliability.
Deploy Model: Implementing models into production environments where they can be used for real-time predictions or analyses.