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al-react-app

al-react-app

amplifyapp

als amplify app console

awesome-project

awesome-project

aws-stuff

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

bundy

classification-of-handwritten-digits-mnist

Implemented and compared the performance of below Classifiers using Cross-validation & error metrics. Linear classifier, K-nearest neighbor classifier, RBF neural network,1 & 2-hidden layer Neural Network

counter-app

This tiny application is like adding,removing,deleting, resetting products which reflects in the total number of products into our shopping cart.

gimpstuff

gimp stuff

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

logistic_regression

This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

myfirstamplifyapp

amplify console ci / cd demonstration

mywebsite

mywebsite

naive-bayes-python

Implementing Naive Bayes Algorithm using iPython Notebooks

tensorflow

An Open Source Machine Learning Framework for Everyone

vanilla-javascript-projects

It includes some mini Vanilla JavaScript projects, no frameworks.

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker