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Career-Oriented ProgramMachine Learning
Learn Machine Learning from fundamentals to advanced algorithms, covering data preprocessing, supervised and unsupervised learning, model evaluation, and real-world ML projects using Python.
Instructor-paced live classes with fixed schedules
Real-world projects & interview preparation
Resume building, mock interviews & placement support

Duration
4–5 Months
Skill Level
Beginner → Advanced
Learning Mode
Instructor-Led
Mentorship
1-to-1 Support
Course Overview
This Machine Learning course provides a comprehensive introduction to the concepts, algorithms, and practical techniques used to build intelligent data-driven systems.
Learners will gain hands-on experience with Python, core ML libraries, data preprocessing, regression, classification, clustering, dimensionality reduction, and ensemble methods.
The course emphasizes real-world datasets, model evaluation, ethical considerations, and deployment basics, preparing learners for ML, data science, and AI-focused roles.
Course Fee
₹45,000/ Full Course
This course includes:
- 85+ Video Lessons
- Live Class Access
- Downloadable Resources
- Lifetime Access
- Certificate of Completion
Course Syllabus
Step-by-step curriculum designed for strong fundamentals and job-ready skills.
Professional Certification
Get recognized by industry leaders with our professional certificate.

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Key Benefits You’ll Gain from This Program
A carefully structured journey that transforms you from a learner into a confident, job-ready data professional.
Strong ML Foundations
Build a solid understanding of machine learning concepts, algorithms, and workflows.
Hands-on Python & ML Libraries
Work with NumPy, Pandas, Matplotlib, and Scikit-learn for ML development.
Real-World ML Problem Solving
Apply ML techniques to real datasets and case studies.
Career-Oriented Skill Development
Prepare for roles in machine learning, data science, and analytics.
By the end of the program, you won’t just understand data — you’ll know how to apply it professionally.
Why join this Machine Learning program?
Learn with confidence through a structured, practical, and career-focused approach.

Beginner to Intermediate Learning Path
Start with ML basics and progress to advanced algorithms and ensemble methods.
Math + Practical Balance
Understand the mathematics behind ML while focusing on practical implementation.
Industry-Relevant Techniques
Learn algorithms widely used in real-world ML systems.
Project-Based Learning
Reinforce concepts through hands-on projects and case studies.
Ethics & Responsible ML
Understand bias, fairness, and challenges in deploying ML systems.
ML Deployment Awareness
Gain exposure to model saving, deployment basics, and MLOps concepts.
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What Our Students Say
Success stories from our alumni who have transformed their careers.
"Paarsh E-learning changed my life. The one-to-one mentorship was a game-changer, and I landed my dream job within a month of completing the course!"
Priya Gaikwad
Full Stack Web Development
"The instructors are industry experts who provide invaluable insights. The placement support is top-notch. Highly recommended!"
Tanvi Sharma
Data Analyst
"I went from a complete beginner to a confident designer. The hands-on projects and portfolio reviews were incredibly helpful."
Anjali Patil
Flutter Developer


