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Career-Oriented Program

Machine 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

4–5 Months
Beginner → Advanced
Placement Focused
Machine Learning

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

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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.

Data Science Program

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

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

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

Anjali Patil

Flutter Developer

    Machine Learning Course in India | Python ML Training & Certification | Paarsh E-Learning