Deploying machine learning model using flask
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Updated
Nov 17, 2018 - HTML
Deploying machine learning model using flask
Breast cancer detection using machine learning with deployment of model
This is a IPL match predictor that is made of machine learning algorithms and deployed on flask web as backend
Forecast NFL games with machine learning tools in Python
Generating Locational data by web-scraping using the traditional 'Store Finder' or 'Locate my Store' functionality provided on websites.
An application which helps people find their foodie partner!
Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.
Machine Learning Recommendation System
UI to test sentiment analysis on hotel reviews
Flask backend application for generating output of pickle ML model
A 10-year Coronary Heart disease predictor developed for people among various age groups from an appropriate dataset based on several parameters using HTML, CSS and Django and used Logistic Regression Model for prediction.
In this repo I have developed a IPL First Innings Score Prediction project in machine learning. And deployed on Heroku app.
A Gender Classification App with Prediction Score and Eigenvalue Face Analysis Using Open CV
This repository is dedicated to Spam Classifiers like E-Mail Spam Classifier, Message Classifiers etc. This Spam Classifier can correctly classify 4 out of 5 top Spam messages listed in AdaptiveMobile Security site. https://www.adaptivemobile.com/newsroom/press-release/five-top-spam-texts-for-2012-revealed-in-adaptivemobiles-ongoing-threat-ana
Implementation of Attribute based Access Control for MongoDB NoSQL Database
The front-end of a project for predicting concrete compressive strength.
This project implements a interface (form) using Flask to predict the classification based on inputed data, using a trained model.
Concepts for the recommendation of articles . Udacity Data Science Nanodegree Program 3rd Project - Recommendation Engines .
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