AI & ML
Machine Learning Course with Practical Algorithms and Projects
Learn supervised and unsupervised machine learning algorithms with model evaluation and real project implementation.
Curriculum
Machine Learning Course Curriculum
Step-by-step course modules designed for practical learning and career preparation.
Module 1
ML Foundations
- What is ML
- Types of learning
- Train-test split
- Data preprocessing
Module 2
Regression
- Linear regression
- Multiple regression
- Metrics
- Case study
Module 3
Classification
- Logistic regression
- Decision tree
- Random forest
- SVM basics
Module 4
Clustering
- K-Means
- Hierarchical clustering
- Elbow method
- Cluster interpretation
Module 5
Model Evaluation
- Accuracy
- Precision and recall
- Confusion matrix
- ROC-AUC
Module 6
ML Project
- Problem statement
- Model building
- Deployment basics
- Project report
Projects
Project Work Included
Build practical projects that can be added to your resume and discussed during interviews.
Loan approval prediction
Customer segmentation
Churn prediction
House price prediction
Career Outcome
What You Can Do After This Course
This course helps you build practical skills, complete assignments, create projects and prepare for internships or entry-level roles.
- Understand core concepts and tools
- Work on practical assignments
- Create portfolio-ready projects
- Prepare for interviews and technical discussions
Related Courses
Admission Enquiry
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Call: 85039 06164
Website: bestdatascienceinstitute.com
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