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Type: User
Bio: D. Bharath Reddy
Type: User
Bio: D. Bharath Reddy
A booklet on machine learning systems design with exercises
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
This is a project where a small Machine learning model is deployed on AWS.
This repository contains the whole process to build a machine learning model using python and also explain the steps to deploy it using Flask web framework.
Source code about machine learning and security.
Machine learning for beginner(Data Science enthusiast)
A WebApp build on AWS
Leveraging on Unsupervised Learning Techniques (K-Means and Hierarchical Clustering Implementation) to Perform Market Basket Analysis: Implementing Customer Segmentation Concepts to score a customer based on their behaviors and purchasing data
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
The simplest complex example that I can think of to show main Flask app concepts.
Uses machine learning and NLP techniques to label and sort a corpus of documents into categories based on their text content, without knowing what the categories are beforehand. It is used as a first line of attack to label/classify a corpus of text whose contents are largely unknown, the kind you get from scraping documents from the web.
Analysis pipeline for quick ML analyses.
Guide on creating an API for serving your ML model
A simple machine learning model deployment example with flask, gunicorn, and Docker
A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
A simple Machine Learning based web application using Flask and Scikit-Learn.
An IDS implementation using machine learning
A simple Flask based web interface that allows users to upload data, train machine learning models on them, and make predictions on test data.
Deploying a containerized machine learning app, which estimates housing prices, using Docker and Kubernetes (locally).
Demo project to show how Machine Learn Models are deployed on production using Flask API
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
REST API (and possible UI) for Machine Learning workflows
Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask
Build a simple and self running web application over machine learning model
This is a boilerplate to serve a machine learning model as a web app.
It contains all pdf of ml algorithm
[Under Development]
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.