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Become a practical Machine Learning with Python developer by building real applications from scratch.
Limited to 10 students per live batch
We recommend completing these foundational courses:
Machine Learning (ML) is a branch of Artificial Intelligence that enables computers to learn from data and improve their performance without being explicitly programmed. Instead of following fixed instructions, ML systems identify patterns in data and make predictions or decisions.
ML is widely used in applications such as recommendation systems, image recognition, speech processing, fraud detection, and predictive analytics. With the growth of data and computing power, machine learning has become a core technology in modern software systems.
Key topics you will learn in this course:
1. Introduction to Machine Learning
2: Supervised Learning
3: Unsupervised Learning
4: Natural Language Processing
5: Computer Vision with OpenCV
Full breakdown of all 5 modules, practical topics & hands-on activities.
Our courses are designed for learners at different stages of their education, career and professional journey.
Build practical skills alongside your academic studies and prepare for real-world opportunities.
Start from the fundamentals and develop practical skills step by step, even with limited prior experience.
Upgrade your existing skills, learn new tools and technologies, and improve your professional capabilities.
Build practical projects, strengthen your portfolio and apply your skills to freelance and career opportunities.
Everything you unlock in your student portal immediately upon enrolling in Machine Learning with Python:
12 weeks of live interactive practical sessions with screen sharing, live demonstrations, and access to session replays for revision.
Access course-related notes, reference materials, examples and learning resources to support your studies.
Apply the concepts through practical exercises, demonstrations and hands-on activities related to the course.
Work on practical projects designed to help you apply the knowledge and skills learned throughout the course.
Complete structured assignments and receive guidance and feedback to improve your understanding and practical skills.
Get guidance and support from the instructor to clarify concepts, solve learning difficulties and improve your skills.
Receive a course completion certificate after fulfilling the applicable course requirements.
Gain practical experience by completing real-world Machine Learning with Python projects:
Complete application implementing full CRUD workflows, validations, and interactive user logic in Machine Learning.
Comprehensive real-world system with secure authentication, database integration, and feature workflows.
Hands-on software, toolchains, and libraries used in this course:
Rashesh Rehi is an experienced educator and technology professional with 15+ years of experience in teaching and mentoring. His practical, student-focused approach combines clear concepts, hands-on learning and real-world applications to help learners build useful skills.
Classes are conducted in online live interactive sessions where you can share your screen, follow practical demonstrations with the instructor, and ask doubts in real-time. Session replays and module study notes are also accessible for revision.
The course is explained in clear, easy-to-follow English, Hindi and Gujarati, making technical concepts simple for BCA, BSc IT, and engineering students across Gujarat.
Yes! The entire curriculum is project-focused. You will build end-to-end practical applications from scratch that you can showcase on your resume, GitHub profile, and university submissions.
Yes! Upon successfully completing the curriculum and submitting your course projects, you will receive a verified digital Certificate of Completion with a unique QR verification code.
Authentic reviews submitted by enrolled learners.
Be among the first students to complete this course and leave your verified review.
Downloadable notes, source codes & session replays are protected for approved enrolled students.
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Enroll in Machine Learning with Python
Enroll today to get complete curriculum access, practical exercises, downloadable notes, and a course completion certificate.
