A collection of research papers on decision, classification and regression trees with implementations.
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Updated
Mar 16, 2024 - Python
A collection of research papers on decision, classification and regression trees with implementations.
Learning to create Machine Learning Algorithms
a chatbot based on sklearn where you can give a symptom and it will ask you questions and will tell you the details and give some advice.
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Simple implementation of CART algorithm to train decision trees
Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation (INFOCOM22 & ToN23)
Python implementation of Decision trees using ID3 algorithm
Myocardial Infarction Detection
Predicting Political Ideology of Twitter Users.
🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
An implementation of the paper "A Short Introduction to Boosting"
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.
Implementation of various machine learning algorithms to predict the disease from symptoms.
Learning Data Science
Quizzaro The Personality Quiz
This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes tec…
Using Machine Learning to Identify Fraud in the Enron Corpus
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