chandru-21 Goto Github PK

anomaly-detection

artificial-neural-network

Using ANN to predict churn rate in a bank (classification) and Total Power produced by combined cycle plant in full load(regression)

aws_ci-cd

bankauthapp_deployment_docker_kubernetes

car-price-prediction

We are required to model the price of cars with the available independent variables. It will be used by the management to understand how exactly the prices vary with the independent variables. They can accordingly manipulate the design of the cars, the business strategy etc. to meet certain price levels. Further, the model will be a good way for management to understand the pricing dynamics of a new market.

chandru-21

Config files for my GitHub profile.

convolutional-neural-network-image-classification-

The Convolutional Neural Network is fed and trained with images of animals and the goal here is to correctly predict the animal name which is fed in by the user for prediction

end-to-end-movie-recommendation-system-with-deployment-using-docker-and-kubernetes

Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.

heart-disease-prediction

house-price-prediction

Prediction focused on solving the problem of predicting house prices for house buyers and sellers

imageclassifierdeployment_docker_kubernetes

mlops-templates

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

mlops-zoomcamp

mlops_cicd

mlops_learning

mlops_project

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

multidocwebchat

MultiDocWebchat combines the functionality of a PDF document reader with a powerful QA bot for in-depth document exploration.

nlp-deployment

recurrent-neural-network-lstm--stock-market-price-prediction

The RNN-Long Short-term memory model is fed and trained with past data and the objective here is to predict the stock price for the forthcoming days.

student-placement-prediction

text-sentiment-analysis-nlp--inshorts-website

Predicting the sentiment of news headline and classifying it to proper news category (web scraped data from Inshorts website)

train_price_forecasting

twitter-sentiment-analysis-nlp-twitterscraper-

Predicting the sentiment of various tweets in an hashtag using text analytics techniques