Course Details
Machine Learning
Course Overview
This Machine Learning course is designed for students, job seekers, developers, and professionals who want to build intelligent systems using data. You will learn how machines make predictions, identify patterns, and automate decision-making using modern tools and real-world projects.
What You Will Learn
- Introduction to Machine Learning
- Python for ML
- Data Preprocessing
- Supervised Learning
- Unsupervised Learning
- Regression & Classification
- Clustering Techniques
- Model Evaluation
- Feature Engineering
- Deep Learning Basics
- Dashboard & Model Reporting
- Real-Time Projects
Who Should Enroll
- Students & Freshers
- Job Seekers
- Software Developers
- Data Analysts
- IT Professionals
- Engineers
- Anyone interested in AI careers
Course Curriculum
- Basics of Machine Learning
- Python, NumPy & Pandas
- Data Cleaning & Preparation
- Linear Regression Models
- Logistic Regression
- Decision Trees & Random Forest
- KNN & SVM Algorithms
- Clustering (K-Means)
- Model Testing & Accuracy
- Dashboard Creation for Insights
- Deep Learning Introduction
- Live Projects & Interview Preparation
Career Path
After completing this course, you can work as:
- Machine Learning Engineer
- Data Scientist
- AI Engineer
- Python Developer
- Business Intelligence Analyst
- Research Analyst
- Automation Specialist
- Data Analyst
Salary Opportunity
- Fresher: ₹30,000 – ₹60,000/month
- Experienced: ₹80,000 – ₹2,00,000+/month
- Freelancers: High project-based income
