Machine Learning
Understand how machines learn from data and make predictions.
Covers algorithms, model training, and practical use cases.
Ideal for students and professionals starting a career in data science.
4.8 (342 reviews)
2,500+ students
3 Months
4.8 (342 reviews)
2,500+ students
3 Months
Mr. Abhilesh H M
Class Coordinator
₹8,999
₹15,999
Next Batch: 15th January 2026
Duration: 3 Months
Certificate on Completion
100% Placement Assistance
Course Highlights
100% Practical Training with Real Projects
Industry-recognized Certificate
Placement Assistance
Lifetime Access to Course Materials
Doubt Clearing Sessions
Mock Interviews & Resume Building
Why This Course?
ISO Certified
Government recognized certification
Expert Trainers
Industry professionals with 10+ years
100% Practical
Hands-on projects and assignments
Placement Support
Resume building & interview prep
Have Questions?
Talk to our counselor for course guidance
Course Curriculum
Module 1: ML Foundations
5 topics
- ML Workflow
- Types of ML
- Math Basics
- Probability Intro
- Model Concepts
- ML Workflow
- Types of ML
- Math Basics
- Probability Intro
- Model Concepts
Module 2: Data Preprocessing
5 topics
- Data Cleaning
- Encoding
- Scaling
- Feature Selection
- Train / Test Strategy
- Data Cleaning
- Encoding
- Scaling
- Feature Selection
- Train / Test Strategy
Module 3: Model Training & Evaluation
5 topics
- Regression
- Classification
- Clustering
- Evaluation Metrics
- Cross Validation
- Regression
- Classification
- Clustering
- Evaluation Metrics
- Cross Validation
Module 4: Use Cases + Mini Projects
5 topics
- Case Studies
- Mini ML Project
- Model Improvement
- Documentation
- Assessment
- Case Studies
- Mini ML Project
- Model Improvement
- Documentation
- Assessment
Module 5: Career-Focused
5 topics
-
GitHub Setup
-
Project Showcase
- Resume
-
Mock Interview
-
Placement Prep
-
GitHub Setup
-
Project Showcase
-
Resume
-
Mock Interview
-
Placement Prep
Skills You'll Gain
Requirements
- Basic computer knowledge
- No prior programming experience required
- Laptop/Desktop with internet
