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20-python-projects

Python demo projects

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-ml-sagemaker-multi-model-pipeline

A SageMaker pipeline that generates a classification model and trains diabetic patients data from S3 using Data Wrangler. The pipeline uses both an algorithm from a custom container and a SageMaker container.

airflow-docker

Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)

amazon-bedrock-aistylist-lab

amazon-healthlake-patient-outcome-prediction

amazon-sagemaker-deepar-retail

Use SageMaker's DeepAR algorithm to continuously develop store inventory forecasts in response to changing data.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-mlops-workshop

MLOps workshop with Amazon SageMaker

aws-ci-cd-projects

ML deployment with CICD

aws-lambda-developer-guide

The AWS Lambda Developer Guide

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

aws-mls-c01

Resource files for my course on the AWS Machine Learning Specilty certification exam.

awsiotcorerpi

Connecting our AWS IoT Core to Raspberry Pi to Send Messages Back & Forth.

browser-ml-inference

Edge Inference in Browser with Transformer NLP model

car-price-prediction

chatdoctor

college_scorecard

Deploy your machine learning models with Flask or Voila

customer_retail_model

Predicting customer purchases using ML model

data-pipeline

data pipeline

data-preparation-using-amazon-redshift-with-aws-glue-databrew

data-science-complete-tutorial

For extensive instructor led learning

data-science-on-aws

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

dataengineering-youtube-analysis-project

Data Engineering YouTube Analysis Project by Darshil Parmar

deepfake_detection_using_deep_learning

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

deployfbprophet

Deploying fbprophet app

e-commerce-website

Mimicking an e commerce store using HTML, CSS , Javascript and JQuery

end-to-end-ml-project

This project is a complete end to end project with HTML, CSS, Flask and Python Code which can now be deployed to production.

flight-delay-prediction

This solution predicts flight delays based on factors such as route, airport congestion, airline efficiency etc. using a trainable ML model.

flight-price-prediction

Now you can get Flight ticket fare with this wonderful end to end project.