Download and Learn Intro to Machine Learning with PyTorch Udacity Nanodegree Course 2022 for free with google drive download link.
What You’ll Learn in Intro to Machine Learning with PyTorch Nanodegree
Intro to Machine Learning with PyTorch
This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.
Intro to Machine Learning with PyTorch Nanodegree Intro Video:
To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and basic knowledge of probability and statistics.
Intermediate Python programming knowledge, including:
- At least 40 hours of programming experience
- Familiarity with data structures like dictionaries and lists
- Experience with libraries like NumPy and pandas
Basic knowledge of probability and statistics, including:
- Experience calculating the probability of an event
- Familiarity with terms like the mean and variance of a probability distribution
In this lesson, you will learn about supervised learning, a common class of methods for model construction.
Project – Find Donors for CharityML
CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. Your goal will be to evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent to ask for donations.
In this lesson, you’ll learn the foundations of neural network design and training in PyTorch.
Project – Create Your Own Image Classifier
As a machine learning engineer at a fictional self-driving car startup, you have been asked to help decide whether to build or buy an object detection algorithm for objects that may be on the side of the road. A company, Detectocorp, claims an 80% accuracy rate on the CIFAR-10 dataset, a benchmark used to evaluate the state of the art for computer vision systems.
You will try your hand at training a neural network to recognize objects in images and evaluate the model’s performance compared to Detectocorp’s model.
In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.
Project – Create Customer Segments
Use unsupervised learning techniques to see if any similarities exist between customers and use those similarities to segment customers into distinct categories using various clustering techniques. This segmentation is used to help the business make more informed marketing and product decisions.
All our programs include:
Real-world projects from industry experts
With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Regarding Google Drive, we are only accepting 100 file requests per day because Google has banned our Drive account from publicly sharing larger files. Additionally, some websites are using our files without giving us credit. So we’ve made the course material / file private; you can request it, but it’s first come, first served. We are currently receiving over 6000+ file requests per day.
Now we have all updated Udacity Courses up to June 8, 2022 – new courses, totaling 78 Nanodegree Courses with full Materials (Note: We are the only website on the internet to have all the Updated Udacity Course).
Use This Password to Extract file: “udacitycourses.com“
We have Shared Mediafire / Mega.nz download link for Some Courses updated on 2019 in our Telegram Channel and More info about Dedicated Drive and for Support: