AWS-Phase-3-Advance-Scholarship-Machine-Learning-Fundamentals-Nanodegree-Program-

I recently completed the advanced Nano-degree program "Machine Learning Fundamentals" through the AWS AI & ML Scholarship Program by Udacity. Out of thousands of applicants, I was chosen as one of the top 500 candidates worldwide for this second Scholarship course. I successfully finished four ML projects, including predicting bike sharing demand, developing a handwritten digits classifier, landmark classification for social media, and building an ML workflow for Scones Unlimited on Amazon SageMaker. I'm grateful to AWS, Udacity, session leads, and community moderators for their support and encouragement. Learning is a never-ending process!

Skills learned in each projects

Predict Bike Sharing Demand with AutoGloun

Model development workflow,

Model training, testing, validation, EDA, AutoGloun framework, SageMaker studio

Developing hand written digits classifier with PyTorch

Deep learning essentials, Feed forward/backward, perceptrons (multiplayer), gradient descent, logistic regression, ML fine tuning parameters, Pytorch

Landmark classification and tagging for social media

CNN fundamentals, transfer learning, auto encoders, object detection, object segmentation

Build a ML workflow for scones unlimited on AWS Sagemaker

SageMaker studio, lambda and step function workflow, cloud gateway, AWS