aws-sagemaker

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Explain & debug any blackbox machine learning model with a single line of code.

All the available resources to master MLOPS from scratch

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

BentoML Example Projects 🎨

Amazon SageMaker Solution for explaining credit decisions.

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Streamlit EDA Dashboard Powered by AWS Cloud

Predictive Maintenance for Vehicle Fleets

AWS Certified AI Practitioner (AIF-C01) exam preparation

Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)

ACK service controller for Amazon SageMaker

Big Data Engineering & Analytics Project

AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB

Real-time bank document fraud detection: 6-signal CV+OCR fusion (ELA, Grad-CAM, MC Dropout, OCR-spatial IoU) → tiered risk scoring → deployed as AWS SageMaker inference API.

Corporate Credit Rating Prediction with AWS SageMaker JumpStart

A hotel recommender system using SageMaker

Code for the Generative AI workshop