GitHub topics: randomforest
abhishekGarg26/Natural_Language_Processing
🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
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Helmy2/Diabetes-Health-Indicators
Machine Learning Model that predict whether the patient has diabetes or not.
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BamboTims/Bulldozer-Price-Regression-ML-Model
A Regression model that predicts the price of bulldozers based on their features.
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BamboTims/Heart-Disease-Classifier-ML
A Classification Machine Learning Model to detect if patients have heart disease.
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offinlew/Binary-Classification-using-ML
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SitiAminatus/Prediction_Titanic-from-Kaggle
Prediction model using Decision Tree, Logistic Regression, KNN, Random Forest, and Neural Network
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samantha-bothwell/DATAS_Gateway
RMarkdown file showing an example of using the Random Forest algorithm to examine Weather Data
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shadowfax42/mushroom-edibility-prediction
This project uses supervised learning to find key mushroom features that enable distinguishing between edible and poisonous mushrooms
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valovpm/splc2015
Empirical Comparison of Regression Methods for Variability-Aware Performance Prediction. Эмпирическое сравние регрессионных методов для предсказания производительности конфигурируемых систем
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TIAGOOOLIVEIRA/ECG-Heart-Disease-Detection-Using-RandomForest-and-Multi-Layer-Perceptron
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qvunguyen/credit-card-fraud-detection
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
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iambankaratharva/BitcoinHeist
Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.
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AnuragSChatterjee/CodeAcademy-Machine-Learning-In-Python-Project-Predicting-Income-Using-Random-Forest
In this project, I used the dataset containing census information based in year 1994 from UCI’s Machine Learning Repository. By using this census data with a random forest, we will try to predict whether or not a person makes more than $50,000 a year as income.
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vsnupoudel/FlaskAppForCsv
End to End implementation for a Flask App in Google Kubernetes Engine. The Notebook has EDA, model selection and training for a unclean structured text data. DNN and Combination of PCA and RandomForest is used for classification.
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EnigmaK9/aprendizaje-maquina
Implementacion de los proyectos para la clase de Aprendizaje 2019-2
Language: Python - Size: 1.58 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

pritamchandra/Candlestick-Stock-Prediction
ML project on stock market prediction with Japanese Candlestick Pattern Recognition for Ashoka University
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jimschacko/Northern-Hemisphere-Temperature-prediction-using-RandomForest-
Northern Hemisphere Temperature prediction using RandomForest
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ivandiliso/regression-tree
Tree creation, pruning, bagging and random forest predictor
Language: Python - Size: 690 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

chuanlintneoh/WIA1007GA
Obesity Risk Assessment Data Product
Language: R - Size: 430 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mecyc/TFG_RADAR_60GHZ
TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
Language: Jupyter Notebook - Size: 424 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

mchamochin1/SDGs-interlinks-with-Climate-Change-Energy-Transition
Connecting the Sustainable Development Goals with climate change and the energy transition
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BorealisAI/ProbForest
Differentiable relaxations of tree-based models.
Language: Python - Size: 114 KB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

ChaoEcohydroRS/FlorenceFlood_UAVSAR_Repo
Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"
Language: Python - Size: 2.41 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

sneharaoganta/Gender-Recognition-By-Audio-Data
Gender Classification using different algorithms for classification i.e K Nearest Neighbor, Naive Bayes, Decision Tree, Random Forest, XgBoost, Support Vector Machine and Neural Network i.e. MLP classifier to generate results.
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AhmedHatemS/EMNIST-EnglishLetters-OCR-DT-RF
EMNIST English letters OCR machine learning model using Random Forests (RF) and Decision Trees (DT) algorrithms.
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ITainment-UIT-04/Ensemble-Learning-with-Random-Forest
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AkashSingh215/Mobile-Price-Prediction-using-different-Machine-Learning-Classification-Models
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shashank31mar/Product-Classification
Classification of various products into different categories is a very important task. Doing this classification, one can get various types of insights about the specific product. This also helps in doing product matching when you try and search a product on a eCommerce site.
Language: Python - Size: 64.6 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 3

francescopatane96/Bioactivity-prediction-with-ML
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
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AIVenture0/PubG-Win-prediction-using-ML
PUBG- PlayerUnknown's BattleGrounds (PUBG)
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bholeneha/Credit_Risk_Analysis
Credit card credit dataset analyzed using multiple machine learning models to determine which model best fits the data, reduces bias and predicts credit risk. Undersampling and oversampling done using various python libraries (imbalanced-learn and scikit-learn).
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vinayakvivek/Facial-Expression-Recognition
Machine learning project for CS 403
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MichalMakaruk21/covidAnalysis
The purpose of the project is to calculate and predict the daily mortality rate on COVID-19 in selected countries around the world.
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Anil-account/Heart-Disease-Prediction
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yara-creative/data-science-projects
10 weekly data science bootcamp projects covering data visualization, machine learning, neural networks, markov chains and more.
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atacanozkan/health_insurance_cost_prediction
Health insurance cost prediction according to patient parameters using machine learning algorithms
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SebasDataIgnacio/Enrolled-Data-science
Project about students enrolled on a post graduate course
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albamalagon/FinalDegreeProject
Language: Python - Size: 18.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

acummings2020/Gender-and-Racial-Bias-in-Sentiment-Analysis-Systems-
Personal portion of project, see "Presentation" file for overview of project
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minshyee/Covid_Subway_Project
지하철 위험도 예측 프로젝트
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Ashishkumar-hub/Car-Price-Prediction
This a complete end to end machine learning project for prediction price of used cars
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HenyerM/Predicting-Bike-Rentals
In this project, we will try to predict the total number of bikes people rented in a given hour using a data collected by Hadi Fanaee-T at the University of Porto. To accomplish this, we will create a few different machine learning models and evaluate their performance. ou can download the data from the University of California, Irvine's website.
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taniabatista/ml-fraud-transaction-random-forest
Card-Not-Present Fraud Project: in an imbalanced dataset containing 200,000 financial transactions, I was asked with identifying 400 rows of fraud. This Random Forest model successfully caught about 75% true positives, with only 0.00025% false positives.
Language: Jupyter Notebook - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

IMvision12/Car-Price_prediction
Predicting car prices using RandomForest, catboost and xgboost classifiers
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chandlergibbons/Machine-Learning-Medical-Transcription-Project Fork of AliceSartori/NLP_AND_Clinical-Notes
For our final project, our group chose to use a dataset (from Kaggle) that contained medical transcriptions and the respective medical specialties (4998 datapoints). We chose to implement multiple supervised classification machine learning models - after heavily working on the corpora - to see if we were able to correctly classify the medical specialty based on the transcription text.
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aberHRML/forestControl
Approximate False Positive Rate Control in Selection Frequencies for Random Forest
Language: R - Size: 1.01 MB - Last synced at: 23 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

11dome11/Classification-Algorithms-Iris-dataset
The purpose of this project is to apply different algorithms of Machine Learning Classification
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THUXCerf/ECO6126Project
Pred on Stock Index
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HimaRaniMathews/twitter-sentiment-analysis Fork of gunjapandey/twitter-sentiment-analysis
Data Analytics Project on Twitter Sentiment Analysis. Have used Logistic Regression, Random Forest, and XGBoost Models on Bag-of-Words, TF-IDF, and Word2Vec features
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

vesran/BookerGuess
Where will you book your first travel experience ? - Airbnb New User Bookings dataset ✈️
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elifdogandar/NhanesClassificationProject-R
A project submitted for "APPLICATIONS OF STATISTICS IN INDUSTRY"(Summer 2021) course at METU, implemented in R. Project includes exploratory data analysis, missing data treatment and random forest implementation. Packages used are "ggplot2", "mice", "purrr", "randomForest", "caret", "e1071" and "ROCR".
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Zubair-004/Titanic-Survival-Prediction
Built a classifier model for predicting the survival of passengers for some known attributes of the passengers
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tayebiarasteh/Unsupervised_PatternAnalysis
Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests
Language: Python - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

SurrajKumar2000/Parkinson-Detection-System
In this repo , detection of Parkinson's disease can be done using dimensionality reduction method.
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kbjornson/wifi-fingerprinting
Wifi-fingerprinting with the UJIIndoorLoc database.
Language: R - Size: 353 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

juraj67/ClassificationAlgorithms
Implementation of several classification algorithms in Java. In addition to algorithms, it was necessary to implement tools for reading data, validation and evaluation metrices.
Language: Java - Size: 527 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

lukaswenzl/High-Redshift-Quasars-with-Random-Forests
Finding High redshift quasars in large survey data using random forests. Code of Wenzl et al. 2021
Language: Python - Size: 634 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

UofT-Government-Project/Covid19_PHU
An exploratory analysis and ML model for Covid-19 cases in Ontario Public Health Units. It highlights current and predicts future, higher number of cases in a specific age group and gender. This analysis will assist in a planned execution of a vaccine roll out program that would be based on hierarchal priorities. It is an SOP that can be imitated for future epidemics and pandemics.
Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 3

Tiger-0512/compare-decisiontree-randomforest
Kaggle Tutorial with RandomForest
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Vishwesh4/Real-time-prediction
Using spark streaming, predicts the violation location in real time for New York parking tickets dataset
Language: Python - Size: 1.55 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

WangRongsheng/Classroom-PeopleCount
Classroom-PeopleCounting.
Language: Python - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

druglogics/bool-param-maps
Boolean parameterization maps using UMAP
Language: Jupyter Notebook - Size: 92.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

gonultasbu/random-forest-stump
Minimal implementation of Random Forest classifier using decision stumps and bootstrap sampling without sklearn.
Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

insilico/privateEC
An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests
Language: R - Size: 21.6 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 4

makama-md/AI-for-Medical-Prognosis
This repo contains my assignment notebooks for the AI for Medicine Specialization course. The link to the course: AI for Medicine Specialization https://www.coursera.org/learn/ai-for-medical-prognosis
Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 5

yang1young/PythonMLFramework
A framework of python to do general machie learning using sk-learn, numpy, matplotlib and pandas
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 0

andreicalin-georgescu/Optical-Character-Recognition-Tema3 Fork of Necula-Horatiu/Optical-Character-Recognition-Tema3
Presents work done in the joint assignment featuring simplistic Machine Learning
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MatthewWolff/DuolingoAnalysis
Wrangling & Modeling of Duolingo Data (48-hour Analysis Challenge)
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Zubair-004/Identifying-Social-Media-Influencer
Built a classifier model to identify who is more influential among two Social Media users for various account attributes
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romario076/-House-Prices-Advanced-Regression-Techniques
Kaagle Competition. Using availbale data set, predict sales prices and practice feature engineering.
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TanyaTandon/Hotel-Reviews
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kush1912/Text-Classification
This is one of the Projects which was done in interest to learn the difference between the different classification algorithm and derive a solid conclusion from that. It scrap sthe data from youtube and related to six different classes and then by using different classification algorithm it classifies them.
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SivanMehta/random-forest-demo
Demoing the randomForest package in R
Language: R - Size: 462 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

gyleodhis/Modelling-Mariage-Issues-in-Kenya-Using-Random-Forest
Feature Classification using random forests on Apache Saprk
Language: Jupyter Notebook - Size: 234 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

angcbi/mnist
Language: Python - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

nemish11/ZS-Data-Science-Challenge
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

dishha/Prediction-of-Parkinson-Disease
AI Tool for Parkinson's Disease Detection
Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Street17/HR-Dataset
In this project we used the random forest technique after clearing the dataset to predict which employee will leave the organisatino prematurely based on specific features.
Language: R - Size: 158 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

shankarganesh1234/MLProjects
Repository of machine learning projects ranging from crypto currency price predictions to predicting house prices.
Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

zgd716/mlp
Language: Python - Size: 266 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

pritomsaha/Random-Forest
Language: Java - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

dwaraka-rashmi/Song-download-predictions
Predicting the Song Download number, given Artist name and Title of the Song
Language: Java - Size: 210 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

AbhayKasturia/BirdSightingPrediction
Distributed Parallel Algorithm to predict the presence or absence of the Red-winged Blackbird in each birding session with an 83% accuracy
Language: Java - Size: 74.2 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

jasujaayush/PatternRecognition
Machine Learning for Pattern Recognition
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girishp92/Supervised-learning-with-heterogenous-data-using-Random-Forest-algorithm
This was a group project where we are comparing the effectiveness of supervised learning using various multivariate data sets and i was involved doing so using Random Forest Model. I implemented the feature importance of various predictor variables and how it effects the error rate(RMSE). I used the Student Performance Dataset to show the importance of various predictor variables. I implemented it in Python using various libraries like Numpy, Scipy, Scikit-learn, pandas, matplotlib and seaborn packages for plotting the figures.
Language: Python - Size: 1.3 MB - Last synced at: about 2 months ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

argowtham/Data-Mining
Contains code related to Data Mining and its related applications
Language: Python - Size: 3.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

joseangeldiazg/DataScience-Titanic
Repositorio que contiene los scripts y explicaciones en R para elaborar un estudio del data set Titanic por medio de un proceso de preprocesado de datos, regresión logística para la selección de variables y árboles de decisión. Prácticas de la asignatura Tratamiento Inteligente de Datos.
Language: R - Size: 4.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

vashistak/DAT210x
Language: Python - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

JadeYu/dognition
Using Dognition dataset to calculate similarity in activeness pattern among dogs with different demographic features.
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