PROJECT 01
Customer churn prediction with scikit-learn
Example hands-on exercise
MACHINE LEARNING
Machine Learning with Python.
Build foundations in preprocessing, training, and evaluating machine learning models with Python.
scikit-learnModel TrainingEvaluation
Bangalore, Karnataka, India · Request fees, duration & batch timings
01 / LEARNCore concepts
Understand the foundations
02 / PRACTICEApplied exercises
Work with practical examples
03 / BUILDProject ideas
Explore hands-on workflows
PROGRAM OVERVIEW
What you could learn.
A suggested progression of topics for Machine Learning with Python. The final lesson plan can be confirmed with the institute before enrollment.
01Python and scikit-learn ML workflow
02Feature engineering and preprocessing
03Regression and classification algorithms
04Training, validation, and cross-validation
05Metrics, overfitting, and model selection
06Interpreting and explaining predictions
Recommended starting point
Comfort with basic Python syntax and high-school math is helpful.
PRACTICAL LEARNING
Learning outcomes.
Explore the capabilities this course aims to develop.
Train baseline supervised learning models
Choose suitable evaluation metrics
Compare approaches and explain model trade-offs
PORTFOLIO PRACTICE
Project ideas.
Examples of practice projects that could support the learning journey.
PROJECT 02
House price prediction with feature pipelines
Example hands-on exercise
LET'S CONNECT
Questions about Machine Learning with Python?
Ask about fees, schedules, delivery mode, prerequisites, or course content. Our team can review your enquiry through the admin dashboard.
Your course is already selected
No payment required to enquire
Your details are stored in the institute database
Prefer WhatsApp? Chat about Machine Learning with Python ↗Enquire about Machine Learning with Python
Fill in your contact details to ask a question.
KEEP EXPLORING