Pinned Repositories
ansible-oracle-modules
Oracle modules for Ansible
Machine-Learning-with-h2O
Coursera's H2O's AutoML scripts
Advanced-AIBot
Tool suite built on RASA to train and deploy your chatbots using advanced NLP
amazon-s3-step-functions-ingestion-orchestration
Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amazon S3 datalake bucket
automl_service
Deploy AutoML as a service using Flask
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
aws-bookstore-demo-app
AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.
aws-full-stack-template
AWS Full-Stack Template is a full-stack sample web application that creates a simple CRUD (create, read, update, delete) app, and provides the foundational services, components, and plumbing needed to get a basic web application up and running.
aws-glue-developer-guide
The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
aws-glue-samples
AWS Glue code samples
palani-ai's Repositories
palani-ai/GeanAI-hour_registration_agent_public
A repository that contains all the source code of a Medium article called Unleash Your AI Agent: Automate Time Tracking With LangGraph and Meta Llama 3
palani-ai/tamil-llama
A New Tamil Large Language Model (LLM) Based on Llama 2
palani-ai/Colab_LLM_autotrain-advanced
🤗 AutoTrain Advanced
palani-ai/GenAI-Agent-AWS
Building an AWS Solution Architect Agent with Generative AI
palani-ai/singer-io
This repository is a getting started guide to Singer.
palani-ai/gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
palani-ai/spark-essentials-using-scala
The official repository for the Rock the JVM Spark Essentials with Scala course
palani-ai/aws-bookstore-demo-app
AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.
palani-ai/Advanced-AIBot
Tool suite built on RASA to train and deploy your chatbots using advanced NLP
palani-ai/aws-live
palani-ai/chatbot-seq2seq
A Deep Learning (RNN-LSTM) Based Chatbot built using the Seq2Seq Model
palani-ai/Health-Discernment-System
A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
palani-ai/OracleDBAwithAnsible
Installing Oracle 19c RDBMS Software SI
palani-ai/ansible-oracle-modules
Oracle modules for Ansible
palani-ai/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
palani-ai/Hospital-Management-System
🏥 A simple but multi-functional HMS application that can deal with the regular tasks of a mid-range hospital and can be used in any platform. 🩺
palani-ai/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
palani-ai/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
palani-ai/FLASK-End-to-end-Zomato-Restaurant-Price-Prediction-and-Deployment
# **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features DEPLOY the Machine learning model via Flask that can be used to make live predictions of restaurants ratings A step by step guide is attached to this documnet as well as a video explanation of each concpet. Zomato is one of the best online food delivery apps which gives the users the ratings and the reviews on restaurants all over india.These ratings and the Reviews are considered as one of the most important deciding factors which determine how good a restaurant is. We will therefore use the real time Data set with variuos features a user would look into regarding a restaurant. We will be considering Banglore City in this analysis. Content The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry has’nt been saturated yet and the demand is increasing day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food. If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are mostly vegetarian. These kind of analysis can be done using the data, by studying the factors such as • Location of the restaurant • Approx Price of food • Theme based restaurant or not • Which locality of that city serves that cuisines with maximum number of restaurants • The needs of people who are striving to get the best cuisine of the neighborhood • Is a particular neighborhood famous for its own kind of food. “Just so that you have a good meal the next time you step out” The data is accurate to that available on the zomato website until 15 March 2019. The data was scraped from Zomato in two phase. After going through the structure of the website I found that for each neighborhood there are 6-7 category of restaurants viz. Buffet, Cafes, Delivery, Desserts, Dine-out, Drinks & nightlife, Pubs and bars. Phase I, In Phase I of extraction only the URL, name and address of the restaurant were extracted which were visible on the front page. The URl's for each of the restaurants on the zomato were recorded in the csv file so that later the data can be extracted individually for each restaurant. This made the extraction process easier and reduced the extra load on my machine. The data for each neighborhood and each category can be found here Phase II, In Phase II the recorded data for each restaurant and each category was read and data for each restaurant was scraped individually. 15 variables were scraped in this phase. For each of the neighborhood and for each category their onlineorder, booktable, rate, votes, phone, location, resttype, dishliked, cuisines, approxcost(for two people), reviewslist, menu_item was extracted. See section 5 for more details about the variables. Acknowledgements The data scraped was entirely for educational purposes only. Note that I don’t claim any copyright for the data. All copyrights for the data is owned by Zomato Media Pvt. Ltd.. Source: Kaggle
palani-ai/Schema-Deployment
A self-service tool to deploy schema changes to remote Oracle databases, used by DBAs to reduce toil (by ~3 man-hours/day), omit human touch-points and have one-click DML/DDL deployments with an access control mechanism.
palani-ai/aws-glue-developer-guide
The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
palani-ai/aws-full-stack-template
AWS Full-Stack Template is a full-stack sample web application that creates a simple CRUD (create, read, update, delete) app, and provides the foundational services, components, and plumbing needed to get a basic web application up and running.
palani-ai/aws-glue-samples
AWS Glue code samples
palani-ai/prophet_forecasting
forecasting examples using Facebook Prophet
palani-ai/multivariate-lstm
palani-ai/GoJS
JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
palani-ai/dash-cytoscape
Interactive network visualization in Python and Dash, powered by Cytoscape.js
palani-ai/Ingestion-to-Insight-Experimenting-Advance-classification-Models
Experimenting all advance classification models end to end with titanic dataset
palani-ai/coffeeshop
A python package that sends your deep learning training loss to your slack channel after every specified epoch
palani-ai/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).