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This repo contains the code for a machine learning based prediction system where the prediction of heart disease can be done using ML techniques and several classifiers have been compared.
Predict heart disease by using Adaboost and Random Forest Classifier
We investigate different algorithms such as Neural Network, Bayesian Naive Bayes, K-NN, K-Means Clustering and Logistic Regression along with hybrid techniques involving the above used algorithms for the diagnosis of heart disease.
A study of the Cleveland Heart Disease data set using logistic regression
test project to predict heart disease in python
Starting Small
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Detection of Cyber Attacks in Industrial Control System using Neural Networks
Detection of Cyber Attacks with Zone Dividing and PCA
TP Structure de données et algorithmique
This repository contains solution codes for the assignments given in the course Information Retrieval(CS60092) at IIT Kharagpur
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
JSP Servlets Tutorial For Beginners - in 25 Steps
This repository store the practice projects of JSP and Servlet... and related Java program practice
Malicious URL detector using keras recurrent networks and scikit-learn classifiers
Finding MST
Char n-gram based model to detect language of sentences out of 6 possible choices
Working with LANL Cyber-Security data
Lending Club Default Rate Prediction
Open Content for self-directed learning in data science
Applying machine learning to predict loan charge-offs on LendingClub.com
Lending Club Historical Loan Analysis and Modeling
DATAQUEST October's Monthly Challenge
Prediction of charged off loan status on 2016 data from Lending Club
#Bokeh #Logistic Regression The study analyses the relationship between the probability of default of a loan and the customer demographics and the market penetration of Lending Club within the United States, which is a peer to peer lender headquartered in San Francisco, California. The analysis is performed using the 2016-2017 fiscal year data from Lending Club.
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.