random-forest-classifier
There are 2015 repositories under random-forest-classifier topic.
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
aziztitu/football-match-predictor
A machine learning project that predicts results of a football match
MrKhan0747/Diabetes-Prediction
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
theDefiBat/ROAD-ACCIDENTS-PREDICTION-AND-CLASSIFICATION
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
Iretha/IoT23-network-traffic-anomalies-classification
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Frightera/Sample-Machine-Learning-Projects
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
AnMol12499/CropcareAI
An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming
asthasharma98/Heart-Disease-Prediction-Deployment
A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.
Kunal-Attri/Malware-Detection-ML-Model
This is a Malware Detection ML model made using Random Forest Algorithm
athiyadeviyani/IGAudit
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
Snigdho8869/Multiclass-Text-Classification
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
kennedyCzar/URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST
URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
dayfundora/Personality-Type
Recognition of Persomnality Types from Facebook status using Machine Learning
ikmckenz/target-pred-py
A simple machine learning model for small-molecule target prediction in Python.
VenkateshBH99/Hybrid-Random-Forest-Linear-Model
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
leaemiliepradier/PlasForest
A random forest classifier to identify contigs of plasmid origin in contig and scaffold genomes
sharmaroshan/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
tjnel/DSU_INSuRE_SP19_IDS_Prioritization
IDS Alert Prioritization INSuRE Research Project
Devvrat53/Flight-Delay-Prediction
A web app for Flight Delay Prediction using Random Forest Classifier
sauhard2701/Fraud-Transaction-Detection
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
aj1365/DeepForest-Wetland-Paper
Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
Brice-Vergnou/spotify_recommendation
Finding which songs I like or not based on songs statistics
elbernaderen/machine-learning-signal-finder
Technic analyzer with ML (RTF) and signal sender bot using telegram
parthsompura/Disease-prediction-using-Machine-Learning
Implementation of various machine learning algorithms to predict the disease from symptoms.
amstuta/random-forest
Implementation of a Random Forest classifier in both Python and Scala
ashishrana1501/Forest-Fire-Prediction
Algerian Forest Fire Prediction
edukait/glioma-classification
The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.
patelpurvip/Spotify-hitpredictor
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
jan-janssen/gmailsorter
Similarity based email sorting for Google Mail using RandomForest classifiers
StarlangSoftware/Classification-Py
Machine learning library for classification tasks
akbloodadarsh/Twitter-Sentimental-Analysis
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.