Machine Learning with Python

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Machine Learning with Python
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Machine Learning with Python

Machine Learning with Python

– Understand machine learning concepts and types
– Use Scikit-learn to implement ML algorithms
– Train, test, and evaluate models
– Work with real datasets for classification and regression
– Build and tune machine learning pipelines

58,913.18

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Description

Machine Learning with Python

Course Overview:
Learn to apply machine learning in Python using Scikit-learn and other powerful libraries. Great for learners with basic Python skills.

What You’ll Learn:
– Regression, classification, and clustering
– Feature engineering and data preprocessing
– Scikit-learn, XGBoost, ensemble methods
– Model evaluation and tuning

Course Structure:
10 Chapters from data prep to building complete ML pipelines and a final capstone project.

Duration: ~45 hours

Final Statement:
Complete this course to confidently build and evaluate ML models—an essential skill for careers in AI, data science, and analytics.