Powered by
Completion
CERTIFICATE
PyTorch Basics for ML
This course is part of multiple programs. Learn more.
Course Cost
₹ 3,220
Beginner
Skill Level
5 Weeks
Self-paced lessons
This foundational course teaches PyTorch basics and machine learning implementation. Students learn tensor operations, automatic differentiation, and integration with Pandas and NumPy. The curriculum progresses through linear regression, logistic regression, and multiple regression models while focusing on PyTorch's key features like custom modules, optimizers, and data loaders. Students gain hands-on experience in building machine learning pipelines, handling large datasets, and implementing various training techniques including gradient descent and early stopping.
15,385 Enrolled
English
What you'll learn
Build and optimize machine learning pipelines using PyTorch
Master tensor operations and automatic differentiation
Implement linear and logistic regression models
Handle large datasets efficiently with PyTorch data loaders
Integrate PyTorch with NumPy and Pandas
Apply gradient descent and optimization techniques
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams, Final project
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course introduces students to PyTorch fundamentals and machine learning implementation. The curriculum covers tensor operations, automatic differentiation, and integration with essential Python libraries. Students learn to build and optimize various machine learning models, from linear regression to logistic regression, while mastering PyTorch's key features including custom modules, optimizers, and data loaders. The course emphasizes practical implementation through hands-on exercises and projects.
Tensors and Fundamentals
Module 1
Linear Regression Fundamentals
Module 2
Advanced Training Techniques
Module 3
Multiple Regression
Module 4
Classification and Final Project
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Deep Learning, Generative AI Engineering
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.9
18,630
Reviews
17,12,849
Students
33
Courses
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.