Machine Learning Professional Training
Master ML Algorithms, Data Preprocessing, Model Building & Real-World AI Applications
Learn Machine Learning from fundamentals to advanced concepts with hands-on training in algorithms, data preprocessing, feature engineering, and model deployment. Ideal for data scientists, analysts, and AI aspirants.
Course Overview
Comprehensive Curriculum
Industry-relevant topics with hands-on projects
Practical Focus
Real-world projects and case studies
Industry Certification
Recognized certificates upon completion
Flexible Batches
24/7 Live Support
Why This Course?
- 100% Live Online Classes – Learn from Anywhere
- Taught by Industry Experts with 10+ Years of Real-World Experience
- Hands-On Projects on AWS & Azure to Build Job-Ready Skills
- Placement Assistance & Career Mentorship
What You'll Master
By the end of this course, you'll have the skills and knowledge to excel in your career
Objective 1
Understand key Machine Learning concepts and algorithm types
Objective 2
Work with Python, NumPy, Pandas, Matplotlib, and Scikit-Learn
Objective 3
Perform data cleaning, preprocessing, and feature engineering
Objective 4
Build models using regression, classification, and clustering algorithms
Objective 5
Evaluate models using metrics like accuracy, RMSE, and confusion matrix
Objective 6
Work with real-world datasets and production-ready ML workflows
Objective 7
Implement ensemble methods: Random Forest, XGBoost, Gradient Boosting
Objective 8
Deploy ML models using Flask, FastAPI, or cloud platforms
Skills You'll Gain
Technical Expertise
Master the latest tools and technologies used by industry leaders
Professional Skills
Develop project management and communication skills
Career Growth
Position yourself for senior roles and higher salaries
Complete Course Outline
Comprehensive curriculum designed by industry experts to ensure you master every aspect
Week 1-2: ML Foundations & Python Basics
Topics Covered:
Week 3-4: Supervised Learning
Topics Covered:
Week 5-6: Unsupervised Learning & Feature Engineering
Topics Covered:
Week 7-8: Advanced ML Techniques
Topics Covered:
Week 9-10: ML Deployment & Real Projects
Topics Covered:
Learn from Industry Experts
Our instructors bring real-world experience and deep expertise to every class
About the Instructor
Machine Learning Engineer & Data Scientist with 12+ years of experience in AI, NLP, and predictive analytics. Former Data Scientist at Amazon AI and ML Consultant for multiple analytics-driven startups.
Credentials & Certifications
PhD in Machine Learning & Certified TensorFlow Developer
Why Learn from Dr.?
Industry Experience
Extensive real-world experience with leading DevOps and Cloud companies
Proven Track Record
Trained hundreds of successful professionals through live online batches across India
Personalized Approach
One-on-one mentorship, doubt-clearing sessions, and career guidance for every learner
Student Success Rate
What Our Online Training Students Say
Real feedback from professionals who advanced their careers through our Online Training program.
"The Machine Learning course helped me switch from a Python developer role to ML Engineer. The real-world projects and deployment sessions were extremely valuable."
"Amazing training! The instructor explained complex concepts like ensemble methods and model tuning in a simple way. Very hands-on and practical."
Ready to Transform Your Career?
Join thousands of successful professionals who chose SVR Technologies for their career growth