decision-tree-classifier
There are 1755 repositories under decision-tree-classifier topic.
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
milaan9/Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
moon-hotel/MachineLearningWithMe
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
itachi9604/healthcare-chatbot
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.
sharmapratik88/AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
HarshCasper/Brihaspati
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
appleyuchi/Decision_Tree_Prune
Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
theDefiBat/ROAD-ACCIDENTS-PREDICTION-AND-CLASSIFICATION
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
thieu1995/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Iretha/IoT23-network-traffic-anomalies-classification
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
starkblaze01/Artificial-Intelligence-Codes
Collection of Artificial Intelligence Algorithms implemented on various problems
joachimvalente/decision-tree-cart
Simple implementation of CART algorithm to train decision trees
rohit1576/Decision-Tree
Python implementation of Decision trees using ID3 algorithm
vaishnavipatil29/Career-Guidance-ML-Project
Career Guidance System Using Machine Learning Techniques
xgr19/Mousika
Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation (INFOCOM22 & ToN23)
greenfish77/gaenari
c++ incremental decision tree
IndexFziQ/ML-ATIC
Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.
kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
yogeshwaran-shanmuganathan/Airline-Passenger-Satisfaction
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
shrebox/Political-Ideology-Detection-on-Twitter
Predicting Political Ideology of Twitter Users.
Yeaseen/ML_Pattern
:trident: 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.
athiyadeviyani/IGAudit
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
kbasu2016/Autism-Detection-in-Adults
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
srijarkoroy/adaboost
An implementation of the paper "A Short Introduction to Boosting"
thieu1995/MHA-FS
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
blhprasanna99/speech_emotion_detection
Speech_Emotion_detection-SVM,RF,DT,MLP
degerliaysen/MultiEchoAI
Myocardial Infarction Detection
Niranjankumar-c/CreditRiskAnalytics
Predicting the default customers
danwild/decision-tree-builder
Build serialisable flowchart-style decision trees with D3.
tjnel/DSU_INSuRE_SP19_IDS_Prioritization
IDS Alert Prioritization INSuRE Research Project
VenkateshBH99/Hybrid-Random-Forest-Linear-Model
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)