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GitHub topics: randomforest

EdwinChristopher/sentiment-topic-mining

This project focuses on text mining of Apple product reviews from Twitter, including text preprocessing, sentiment classification using deep learning, and topic analysis. The sentiment model categorizes tweets into positive, negative, or neutral, and topic analysis is performed to identify key themes within each sentiment group.

Language: Jupyter Notebook - Size: 5.78 MB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 1 - Forks: 0

HozaifAwan/aerocastai

AI-powered tornado forecasting system that trains itself with live weather data every 3 days.

Language: Python - Size: 12.7 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

alunera-data/animal-shelter-ml

edX Capstone Project: ML-based prediction of shelter animal outcomes using R and Random Forest

Language: HTML - Size: 1.08 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

rohitinu6/NeoLung

Lung Cancer Prediction using Machine Learning Algorithms

Language: Jupyter Notebook - Size: 446 KB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 13 - Forks: 4

Mutsinz1/Churn_Prediction_Project

This project focuses on predicting customer churn using machine learning algorithms. By analyzing historical customer data, the model aims to identify patterns that indicate a customer is likely to stop using a service, enabling businesses to take proactive measures to retain valuable customers.

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Shantanu-Meta/Light-pollution

Light pollution analyzer - forecasting, clustering, find key factor influencing light pollution, outliers state in datasheet all with python and Google earth engine.

Language: Python - Size: 3.95 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

arya-io/IPL-Run-Chase-Prediction

This model predicts the winning probabilities for both teams during the second innings of an IPL match.

Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

MateuszGraja/Binary-Prediction-Rainfall

Binary Prediction with a Rainfall Dataset

Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

brandmaier/semtree

Recursive Partitioning for Structural Equation Models

Language: R - Size: 30.3 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 12

laura-projects-work/price-prediction

Price prediction.

Language: R - Size: 7.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Singhananddev/Health-insurance-cross-sell-prediction

Health-insurance-cross-sell-prediction

Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

arsftri/Implementasi-Artificial-Intelligence

Implementasi Decision Tree, Random Forest, SVM, KNN, dan Naive Bayes untuk Diagnosis Diabetes berdasarkan Demografi dan Pola Hidup Asia 2024

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

MonzerDev/Fake-News-Detection

A robust fake news detection system leveraging machine learning models (SVM and Random Forest) to identify political misinformation. Includes preprocessing, training, and evaluation scripts with datasets available for download.

Language: Jupyter Notebook - Size: 284 KB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

usaeva-a/PET-projects

Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

NickLitwinow/Kaggle-Titanic

This project tackles the Kaggle Titanic challenge. The objective is to build a predictive model to determine which passengers survived the Titanic disaster based on various features such as passenger class, age, gender, and other attributes. The project covers data cleaning, preprocessing, exploratory data analysis, and model building.

Language: Jupyter Notebook - Size: 468 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hasanfadhlillah/Spotify-Music-Recommendation-System

Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

imharshag/Fake-news-Detection-using-ML

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

Language: Python - Size: 12.4 MB - Last synced at: about 18 hours ago - Pushed at: 9 months ago - Stars: 8 - Forks: 0

mariarodr1136/FraudDetectionSystem

FraudWatch is a machine learning-based credit card fraud detection system that uses a Random Forest classifier. It visualizes model performance with an interactive confusion matrix heatmap. The system is deployed as a user-friendly Flask web application. 📊

Language: HTML - Size: 2.6 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

Language: R - Size: 88.9 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 1

themihirmathur/Machine-Failure-Predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

Language: HTML - Size: 155 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

erdogant/treeplot

Plot tree based machine learning models

Language: Python - Size: 31.5 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 12 - Forks: 2

tasneem-badar/Market-Trend-Analysis-and-Price-Prediction-on-Used-Cars

Market Trend Analysis and Price Prediction on Used Cars - A machine learning project for analyzing market trends and predicting car prices.

Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Namratha2301/IntrusionDetection

Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset

Language: Jupyter Notebook - Size: 964 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

roclark/clarktech-ncaab-predictor

A machine learning project to predict NCAA Men's Basketball outcomes

Language: Python - Size: 6.87 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 8

dleedev365/Two-Sigma-Connect-Rental-Listing-Inquiries

[CMPT 459 Special Topics in Database Systems: Data Mining] A data mining/machine learning project aimed to recommend features to renters to attract more people to their listings on RentHop website. Use SVM, RandomForest, Logistic-Regression, KNN, Decision Tree, and Naive Bayes.

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Beena-Kurian/loblaws-data-analysis

The Loblaw Data Analysis project is an initiative aimed at extracting valuable insights from large datasets collected by Loblaw Companies Limited, one of Canada's largest food and pharmacy retailers. Leveraging advanced data analysis techniques and machine learning algorithms, this project seeks to uncover trends, patterns, and correlations within

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

UgurCan222/A-Different-Approach--Image-Enhancement-with-Imputation-and-Regression-Methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

Language: Python - Size: 1.8 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Frid0l1n/Random-Forest

Stock Price Prediction using Random Forest

Language: Python - Size: 132 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 3

catherman/FIRE-2023

An urban fire risk prediction model using machine learning. Visualization of findings with map and table in interactive Streamlit app.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

mohammad95labbaf/Churn-Prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

Language: Python - Size: 373 KB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

JessicaaaJe/CardioRenal-Disease-Prediction-using-classification-

This project uses classification techniques (KNN, Random Forest) to predict the presence of heart and kidney diseases. (dataset included)

Language: Jupyter Notebook - Size: 6.55 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

jazaoo13/WeatherPrediction

This project focuses on predicting the weather for the next day using a classification model. Both RandomForest and GradientBoosting classifiers were tested with grid search for hyperparameter tuning. The dataset used for this project is available at Kaggle.

Language: Jupyter Notebook - Size: 121 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

james113001/KaggleXCarPricePredict

Predict Car Prices with Random Forest

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ariKoi/vis2rfi

Visualising 2Way Random Forest Interactions

Language: R - Size: 18.8 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

VichoJC/Bot_Detection_Twitter_RF

Trabajo de Fin de Máster - Detección de bots en RRSS (Twitter) mediante un algoritmo de clasificación basado en Random Forest

Language: Jupyter Notebook - Size: 7.23 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

codevibess/parallel-stacking-classifier

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

Language: Python - Size: 132 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Sarah-2510/Customer-Lifetime-Value-Prediction

Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.

Size: 3.06 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

YadavAkash96/Detect_Phishing_Website

Detecting phishing website using machine learning

Language: Python - Size: 1.34 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

pradeish29/cloud-burst-predict-streamlit

cloud burst prediction website rendered using streamlit from a pretrained ml model

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

JoeJohnJoy/Quora_questions_pairs

Quora Question Pairs

Language: Python - Size: 7.81 KB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

VedantM21/AQI_Prediction

Breatheasy is a website that provides real-time air quality index (AQI) predictions for various states in India. It uses machine learning models, specifically K-Nearest Neighbors (KNN) and Random Forest, to predict the AQI for different locations.

Language: Python - Size: 214 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ThinamXx/BlueBook_for_Bulldozers

Here, In this repository, I have solved one of the problems of Kaggle Competition, " Blue Book for Bulldozers"

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Vidhi1290/Lung-Cancer-Detection-App

🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩‍⚕️🌟 #AIHealthcare #LungCancerDetection

Language: Python - Size: 72.1 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Rajat-dhyani/charity_donors

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

Language: HTML - Size: 693 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 3

urvishp80/Predicting-House-Prices-With-Regression

Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

Abirami-Nandakumar/Heart-Disease-Prediction-using-Machine-Learning

Predict heart disease presence using machine learning algorithms and the "Heart Disease UCI" dataset from Kaggle. Evaluate model performance to identify effective predictors for medical diagnosis.

Language: Jupyter Notebook - Size: 232 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kristpapadopoulos/house-price-predictions

Tensorflow Lattice Regression for predicting house prices

Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 3

sasank174/fake_news_detection

fake news detection using ensemble model

Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hrugved06/ML-Algos

Machine Learning Algorithms

Language: Jupyter Notebook - Size: 8.13 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Foram224/Solar_generation

Predict solar generation data

Size: 758 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Singh-Prince-Rinku/Random_Forest

Random Forest algorithm

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

MeJaM35/Phishing-site

Welcome to our Phishing Site Prediction platform! This user-friendly site is designed to predict whether a given URL is a phishing site or not. Simply enter the URL you want to check in the provided field and click ‘Predict’. Our advanced algorithm will analyze the URL and provide you with a prediction in no time.

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NajimAlfutini/Predict-House-Sales-Price

Predict the sales price for each house. For each Id in the test set, predict SalePrice variable.

Language: Jupyter Notebook - Size: 621 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sid83/BankLoadData_MLmodel

Random forest classifier model applied to a bank loan data to predict loan defaulters.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

LaurentVeyssier/Model-to-predict-Energy-consumption-City-of-Seattle

Use Seattle's public energy data and build a model predicting energy consumption

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

LaurentVeyssier/Predicting-likelyhood-of-commercial-leads-to-complete-subscription-application-process-

Create model predicting whether applicant leads will complete and submit application process

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

vyshaal/circleup-mltask

Exploratory Data Analysis & Data Modeling

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

liadber/androsec-rl

Efficient Android Malware detection using Random - Protype of BA's final project (Efficient Android Malware Detection using RL) - Amit Moshe (@Amit223) & Inbar Roth (@inbaroth) & Liad Bercovich (@liadber)

Language: Python - Size: 93.3 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

igarleni/Image-Analysis-and-classification---HOG-gradients

Clasifying images using Histogram Oriented Gradients algorithm HOG

Language: Matlab - Size: 33.7 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

Siedrid/Grasslands_BioDiv

In this repository we provide code to predict floral biodiversity in grasslands in Franconia with Sentinel-2 data.

Language: R - Size: 105 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

2003vivek/REAL-ESTATE-PREDICTOR

This is a model that predicts the property prices based on the fed data.

Language: Jupyter Notebook - Size: 403 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

addievo/phishingDetection

This repository contains a Flask application for detecting phishing URLs using machine learning. It includes preprocessing, feature extraction, model training, and model deployment in a web application.

Language: Python - Size: 4.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

SebastianRokholt/Hybrid-Recommender-System

A repository for a machine learning project about developing a hybrid movie recommender system.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 13

saikrishnabudi/Random-Forests

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

NASA-DEVELOP/WET2.0

The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).

Size: 111 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

huseyincenik/auto_analytics_advanced_estimation_and_deployment

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sntdshrly/university-admission

university admission is implemented in mobile applications for inputting their grades, using machine learning to predict their probability recommended in major, and websites for the final decision to accept or reject students.

Language: Jupyter Notebook - Size: 5.71 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

bidhyapokharel/Flight-Fare-Prediction

Hey, Now you can predict your flight fare easily with Machine Learning.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

SabaHao/PL-RandomForest

A basic Machine Learning algorithm for my FIinal Exam that uses Random Forest technique to predict football matches.

Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

huseyincenik/machine_learning

Language: Jupyter Notebook - Size: 47.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Wayneotc/Heart-Failure

This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.

Language: Jupyter Notebook - Size: 514 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

daniel-spies/regression_low_flow

Low Flow Regression Modeling

Language: MATLAB - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

nataberishvili/nataberishvili.github.io

Size: 255 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1

30lm32/ml-random-forest-pyspark

Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3

anonyXmous/Predict_Vessel_ETA

First capstone project on predicting expected arrival time of a container vessel from Shanghai to Ningbo, China using Automatic Identification System (AIS) data sent by ships.

Language: R - Size: 3.46 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

ririraissa/Hotel_Cancelation_Order

When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders using machine learning model.

Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dhondta/malicious-macro-tester 📦

CLI tool for testing Office documents with macros using MaliciousMacroBot

Language: Python - Size: 97.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

AlessandroDiLauro/Machine-Learning-with-Tree-Based-Models-in-Python

Decision trees are supervised learning models used for problems involving classification and regression.

Language: Jupyter Notebook - Size: 485 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

30lm32/ml-spam-sms-classification

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Language: Jupyter Notebook - Size: 375 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 20

aneeshpatne/ML-for-Weather-Prediction

Harnessing machine learning to start predicting weather with greater accuracy.

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MyungsuChae/real-time-load-separation 📦

Real-time appliance level load separation from total power usage.

Language: R - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

goyanedelv/renewal_randomForest

renewal of policies McK hackathon

Language: R - Size: 2.44 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

yi-ye-zhi-qiu/liam.gg

League of Legends ranked game logistic regression Flask Web App to give player feedback via SHAP plots

Language: Python - Size: 36.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

shihabmuhtasim/Machinearning-Model-Weather-Prediction-Rain-Snow-

This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

cordeirossauro/JPLUS-STEPEs

Stellar Parameters Estimators for JPLUS stars.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

The-Odor/FYS-STK-3155-project-3

Heart Failure dataset analysis using homemade and SKlearns algorithms

Language: Python - Size: 576 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ifenglin/Evolutionary-Random-Forest Fork of imbs-hl/ranger

Evolutionary Random Forest: a genetic algorithm enhanced random forest learning model

Language: C++ - Size: 28.3 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

aasthakumar/CMPE-256-Project

Sentiment Analysis on reviews

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

somenath203/Gold-Price-Prediction

Click below to visit the website live

Language: Jupyter Notebook - Size: 7.5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

doguma/IronDiamondtoChallenger

League of Legends Game Data Analysis (Random Forest, KNN, SVM, XGB / Kaggle game data 2017)

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

sreevathsagolla/SARS-Coronavirus-Bioactivity-Prediction

This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).

Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3

razhakhan/Predicting-T20-Cricket-Scores-using-Machine-Learning-An-Evaluation-of-Six-Different-Algorithms

Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.

Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jessramosdata/Loan-Approval-Prediction-Random-Forest-Web-App

Web App and Random Forest - Loan Approval Prediction

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

crosstherubicon/Churn_Prediction

Churn prediction using Random Forest and Decision Tree Classifiers.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

thenomaniqbal/boston-housing-price-prediction

This project is about predicting house price of Boston city using supervised machine learning algorithms. In this we used three models Multiple Linear Regression, Decision Tree and Random Forest and finally choose the best one. Furthermore, we briefly introduced Regression, the data set, analyzed and visualized the dataset.

Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

cknin9/ML-California-House-Prediction

Using machine learning (tree-based methods) to predict prices of housing in California

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SahilChachra/Medical-Cost-Prediction

Predict your Medical insurance cost!

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Thilagavijayan/Syndrome_Prediction

Syndrome Prediction Helps to predict the disease through analysing group of symptoms

Language: Python - Size: 91.8 KB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

benjilu/forestError

A Unified Framework for Random Forest Prediction Error Estimation

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Related Keywords
randomforest 189 machine-learning 73 python 49 machinelearning 30 xgboost 23 classification 20 knn 19 decision-trees 16 svm 16 logistic-regression 16 r 14 pandas 14 python3 14 decision-tree 13 scikit-learn 13 datascience 12 data-science 12 random-forest 12 jupyter-notebook 12 numpy 10 linearregression 9 sklearn 9 machine-learning-algorithms 9 adaboost 8 ml 8 flask 8 regression-models 8 prediction 8 linear-regression 7 decisiontree 7 dataanalysis 7 matplotlib 7 gridsearchcv 6 kaggle 6 regression 6 naive-bayes 6 random-forest-classifier 6 svm-classifier 5 artificial-intelligence 5 pca 5 datapreprocessing 5 clustering 5 ai 5 gradient-boosting 5 gradientboosting 5 docker 4 nlp 4 streamlit 4 keras 4 randomforestregressor 4 seaborn 4 svr 4 lasso 4 knn-classification 4 eda 4 machinelearning-python 4 decision-tree-classifier 4 datavisualization 4 kmeans-clustering 4 tensorflow 3 lassoregression 3 gridsearch 3 lightgbm 3 pipeline 3 naivebayes 3 plotly 3 gensim 3 randomforestclassifier 3 supervised-learning 3 churn 3 fastapi 3 catboost 3 mnist 3 data-analysis 3 decisiontrees 3 mlp-classifier 3 nltk 3 k-nearest-neighbours 3 logisticregression 3 hyperparameter-tuning 3 sklearn-library 3 knn-classifier 3 exploratory-data-analysis 2 pca-analysis 2 naive-bayes-classifier 2 cross-validation 2 data-mining 2 big-data 2 dashboards 2 analysis 2 datamining 2 ensemble 2 data-visualization 2 ensemble-learning 2 gbdt 2 missing-data 2 image-processing 2 gaussian-naive-bayes 2 support-vector-machines 2 sar 2