Machine Learning (Supervised & Unsupervised)
Master machine learning algorithms and build intelligent data-driven models.
Duration
6 Months
Lectures
4
Projects
3
About this course
This advanced course focuses on supervised and unsupervised machine learning techniques using Python. Learners will build, train, evaluate, and deploy ML models for real-world problems.
Level: intermediate
Mode:
ONLINE
Available Shifts:
Morning
26000 3500026% Off
What you’ll learn
- Supervised learning algorithms
- Unsupervised learning techniques
- Model training & tuning
Career opportunities
- Machine Learning Engineer (Junior)
- Data Scientist (Entry Level)
- AI Analyst
Tools & technologies
Python
Jupyter Notebook
Scikit-learn
Eligibility
Students with Python background
Data science aspirants
Working professionals
Services
Live expert-led sessions
Hands-on ML Projects
Model evaluation guidance
Course Curriculum
Explore what you’ll learn in this course
Module 1
Supervised Learning
- Lecture 1: Clustering
- Lecture 2: Dimensionality Reduction
Module 2
Model Evaluation
- Lecture 1: Clustering
- Lecture 2: Dimensionality Reduction
Certificate Preview
Sample certificate you’ll receive after completing this course
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