Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree
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Updated
Feb 9, 2017 - HTML
Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree
Analysis on hospital readmission data for diabetic patients using R and Tableau
Classification problem
A little lab of learning algorithms (in LUA). Less XAI, but better
Help For All (Mozilla Open Lab 2020)
Supervised ML models to predict student's performance in high school
The projects displayed are part of my course in Great Learning - Business Analytics and Business Intelligence
Klasifikasi status gizi balita naive bayes berbasis web (flask)
Applying unsupervised learning algoriths on online shoppers intention data and model building
Loan Binary Classification Task
Analysis to predict the trust value of a borrower, such a way the bank sanctions the loan or not
NLP project on flagging false reports and reviews based on various classifiers
A web-based application that will classify text, in Indonesian, is a piece of hoax news or a valid one. This application builds using the Naive-Bayes machine learning algorithm and gives an accuracy of around 70%.
sentiment analysis over Moroccan political comments on web news
This repository is for Fake News Detection using Deep Learning models
Sentiment Analysis of tweets
A machine learning and NLP based web Application to detect SMS as Spam or Ham built with Flask and deployed using Heroku.
Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.
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