basanisruthi's Stars
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
kananinirav/AWS-Certified-Cloud-Practitioner-Notes
AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
PlayingNumbers/ds_salary_proj
Repo for the data science salary prediction of the Data Science Project From Scratch video on my youtube
AkmmusAI/LLM-Prompt-Engineering-Simplified-Book
LLM Prompting Engineering Simplified Book
amazonqa/amazonqa
Evidence-based QA system for community question answering.
marcmuon/nlp_yelp_review_unsupervised
Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment
RamVegiraju/SageMaker-Deployment
Compilation of examples of SageMaker inference options and other features.
aws-samples/aws-machine-learning-university-responsible-ai
iterative/aita_dataset
AITA dataset based on r/AmItheAsshole/
aws-samples/bias-mitigation-for-llms
victor369basu/SagemakerHuggingfaceDashboard
This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
AudreyCTang/Sephora-ML-Project
End-to-end machine learning project to predict number of loves of Sephora products.
catherhuang/Sephora_rating_review_analysis
aws-samples/amazon-sagemaker-xgboost-regression-model-monitor-and-alerting
How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.
Hamagistral/DataEngineers-Glassdoor
👨💻 Data Engineer Jobs Exploration and Salary Prediction Project based on Glassdoor 2023 USA Job Listings
aws-samples/measuring-and-mitigating-toxicity-in-llms
RamVegiraju/LinLearnerRegression
End to end example of AWS SageMaker's in-built Linear Learner algorithm to solve regression problem.
Wazzabeee/Bias-Mitigation-In-LLM
Research POC on the mitigation of bias in large language models (FLAN-T5 and Bloomz) through fine-tuning.
aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-lambda-and-amazon-api-gateway
How to train a XGBoost regression model on Amazon SageMaker, host inference on a serverless function in AWS Lambda and optionally expose as an API with Amazon API Gateway
daekeun-ml/sagemaker-studio-end-to-end
This hands-on lab is a Korean translated version of the official example code of Architect and build the full machine learning lifecycle with AWS. You can practice the SageMaker End-to-end pipeline in about 1 hour 30 minutes to 2 hours.
AudreyCTang/Movie-Review-Topic-Modelling-Sentiment-Analysis
Using the IMDb review dataset, this machine learning model clusters the reviews into topics with LDA, and conduct sentiment analysis.
BenjaminRaine/KMeansRewrite
Creates a set of points in 2D space and assigns them to clusters based on their distance to randomly placed centers. The centers are then moved and the points reassigned until a stable set of clustered points is reached.
hibaa-a/MachineLearning_GlassdoorReviews
adeel14553/ml-preprocessing-templates
ml pre-processing templates sagemaker
asayanlar/reddit-opinion-scraper
Scrapes data from Reddit posts to extrapolate and organize all posters opinions on a particular question.
dsouzajess98/GenderBiasMovie
Detecting Gender Bias in Movie Plots using NLP
MeUSone/RedditAITAWebScraping
mimicarina/fairness_experiments
poojan-pandya/224n-project
Deep learning model which processes input text from the r/AmItheAsshole Reddit community, and produces a natural language explanation for why the poster is (or isn't) an asshole.