Complete Python for Data Science and Machine Learning

What Will You Learn?

• Master Python for data science and machine learning applications.
• Build data pipelines to analyze, visualize, and extract insights from data.
• Develop a portfolio of real-world data science and machine learning projects.
• Analyze professional datasets and uncover actionable insights.
• Gain expertise in essential data science libraries: NumPy, Pandas, Matplotlib, and Seaborn.
• Engineer features and apply machine learning algorithms using Scikit-learn.
• Create supervised learning models for classification and regression tasks.
• Understand the end-to-end machine learning lifecycle, from problem formulation to deployment.
• Learn to deploy machine learning models as interactive APIs for practical use cases.
• Follow best practices for working with real-world data and replicating professional workflows.