randomforest

There are 3 repositories under randomforest topic.

SahilChachra / Medical-Cost-Prediction
Predict your Medical insurance cost!
python machinelearning randomforest deployed heroku herokuapp
Language:Jupyter Notebook 92
SebastianRokholt / Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
recommender-system hybrid-recommender-system collaborative-filtering content-based-filtering python matplotlib data-science machine-learning regression-models k-nearest-neighbours movielens lasso-regression randomforest movies movies-recommendation
Language:Jupyter Notebook 41
clarktech-ncaab-predictor
roclark / clarktech-ncaab-predictor
A machine learning project to predict NCAA Men's Basketball outcomes
machine-learning basketball basketball-stats python prediction randomforest
Language:Python 34
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
word2vec gensim keras nlp machine-learning ml randomforest svm deep-learning classification naive-bayes sklearn pipeline gridsearchcv lstm-neural-networks spam-classification tf-idf statsmodels sms-classification sms
Language:Jupyter Notebook 31
njtierney / broomstick
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
decision-trees rpart broom rstats machine-learning statistical-learning gbm randomforest
Language:R 30
benjilu / forestError
A Unified Framework for Random Forest Prediction Error Estimation
inference intervals machine-learning machinelearning prediction r random-forest randomforest statistics
Language:R 26
brandmaier / semtree
Recursive Partitioning for Structural Equation Models
forest randomforest decision-tree multivariate sem statistical-modeling structural-equation-modeling structural-equation-models bigdata r cran recursive-partitioning
Language:R 20
jessramosdata / Loan-Approval-Prediction-Random-Forest-Web-App
Web App and Random Forest - Loan Approval Prediction
machinelearning randomforest webapp loanapproval
Language:Jupyter Notebook 16
rohitinu6 / NeoLung
Lung Cancer Prediction using Machine Learning Algorithms
adaboost data-analysis decision-trees gradientboosting knn logistic-regression machine-learning naivebayes neuralnetworks python randomforest scikit-learn svm xgboost
Language:Jupyter Notebook 16
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
machine-learning machinelearning machine machine-learning-algorithms machine-learning-library machine-learning-models machine-learning-projects machine-learning-tutorials decision-trees decision-tree decision-tree-classifier decision-tree-regression decision-tree-algorithm randomforest randomforestregressor randomforestclassifier random-forest random-forest-classifier random-forest-regression random-forest-regressor
Language:Python 13
Ariannahs / Ad-Fraud-Detection-With-Machine-Learning
Fraud detection using lgb, catboost, rf, etc
advertising-fraud prediction machine-learning python lightgbm randomforest catboost anti-cheat data-analysis data-visualization classification-task ai-challenges
Language:Jupyter Notebook 12
erdogant / treeplot
Plot tree based machine learning models
xgboost randomforest plot tree-structure gradient-boosting pypi python treeplot machine-learning
Language:Python 12
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).
gee javascript gui wetland sentinel-1 landsat-8 sentinel-2 dswe randomforest sar
12
dhondta / malicious-macro-tester
CLI tool for testing Office documents with macros using MaliciousMacroBot
machine-learning malicious-macro randomforest security-tools
Language:Python 11
AIVenture0 / PubG-Win-prediction-using-ML
PUBG- PlayerUnknown's BattleGrounds (PUBG)
machinelearning machinelearning-python randomforest aws-sagemaker pubg kaggle-competition
Language:Jupyter Notebook 9
Frid0l1n / Random-Forest
Stock Price Prediction using Random Forest
machine-learning randomforest stock-market big-data big-o-notation classification python3
Language:Python 8
insilico / privateEC
An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests
relief-f randomforest evaporativecooling classification-algorithims
Language:R 8
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.
classification-algorithm confusion-matrix css decision-trees django html logistic-regression machine-learning randomforest regression-algorithms supervised-learning
Language:Python 7
krishnapriya-18 / Women-Data-Science-Hackathon-by-Bain-Company
Analytics Vidhya Hackathon
extratreesregressor forecasting forecasting-model randomforest time-series time-series-analysis xgboost
Language:Jupyter Notebook 7
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.
radar acconeer sensor aprendizaje-automatico auto-sklearn clasificador k-nearest-neighbours k-nn machine-learning python randomforest reconocimiento svm tabpfn raspberry-pi radarwave
Language:Jupyter Notebook 7
MahsaShk / ApacheSpark
Apache Spark machine learning project using pyspark
rdd dataframe mllib pyspark aws ec2 spark logiticregression gbt randomforest linearregression imbalanced-data featureimportances sparkstreaming twitter covid-19 streaming nlp
Language:Jupyter Notebook 6
punitkumar4871 / Backpack_Price_Prediction
Kaggle Competition: Backpack Price Prediction. Built ML models (Linear/Ridge Regression, XGBoost, etc.) with EDA, feature engineering, and MAE evaluation (best ~39.18). Includes notebooks for data preprocessing, model training, and insights. Great for learning regression techniques and Kaggle workflows
machinelearning linear-regression python randomforest xgboost
6
radityawiguna / Spark-Mllib-Telco
Prediction of Customer Churn using Spark Mllib
spark mllib decisiontree randomforest machinelearning pyspark
Language:Jupyter Notebook 6
Singh-Prince-Rinku / Random_Forest
Random Forest algorithm
machine-learning machine-learning-algorithms randomforest
Language:Jupyter Notebook 6
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.
cybersecurity feature-extraction flask machine-learning model-deployment phishing phishing-detection python randomforest web
Language:Python 5
francescopatane96 / Bioactivity-prediction-with-ML
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
bioinformatics biology biotechnology chemistry chemoinformatics datascience deep-learning discovery drug drugdesign drugdiscovery machine-learning machinelearning machinelearning-python pharmacology pharmacy randomforest regression
Language:Jupyter Notebook 5
itsmethahseer / Regression_Algorithms
Welcome to the Machine Learning Algorithms Implementation repository! This repository focuses on practical implementations of various regression algorithms using Python
dataset decisiontreeregressor linear-regression machine-learning python randomforest regression
Language:Jupyter Notebook 5
joymnyaga / CustomerAnalytics-Predicting-Customer-Churn
A predictive model that leverages classification models such as Random Forest and Naive Bayes to predict customer churn
r machine-learning-algorithms classification randomforest naivebayes predictive-modeling predictive-analytics
Language:R 5
karolcichosz / project-plagiarism-detection
MACHINE LEARNING / NLP / AMAZON SAGEMAKER: Plagiarism detector in 3 ML model versions (XGBoost, Random Forest & my implemementation) deployed on Amazon SageMaker.
machine-learning python xgboost randomforest pytorch-implementation aws-sagemaker neural-network plagiarism-detection
Language:Jupyter Notebook 5
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.
classification dataanalysis multiclass-classification random-forest-classifier randomforest svm-classifier
Language:Python 5
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).
machine-learning machinelearning bioinformatics sars-cov-2 coronavirus covid-19 ai svm svm-classifier randomforest python jupyter-notebook drug-discovery
Language:Jupyter Notebook 5
YadavAkash96 / Detect_Phishing_Website
Detecting phishing website using machine learning
machine-learning classification-algorithm randomforest
Language:Python 5
Ashishkumar-hub / Car-Price-Prediction
This a complete end to end machine learning project for prediction price of used cars
kaggle machine-learning python prediction data-science randomforest
Language:Jupyter Notebook 4
fhaoguo / toutiao_news_cls
新闻短文本分类，可以在此基础上进一步完善实现其他短文本分类任务，欢迎fork 和 star。
bert nezha textcnn shorttext toutiao-news randomforest
Language:Jupyter Notebook 4
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.
rprogramming modelling customer-lifetime-value randomforest linear-regression datavisualization eda r-markdown
4
sjapanjots / Wine_Quality_Prediction_RandomForest
Wine Quality Checker Prediction Model is Random Forest machine learning model which helps to check quality of wine is good or bad on the basis of aspects given in the dataset (which is given )
csv machine-learning machine-learning-algorithms numpy pandas python randomforest matplotlib seaborn sklearn sklearn-library
Language:Jupyter Notebook 4

randomforest

SahilChachra / Medical-Cost-Prediction

SebastianRokholt / Hybrid-Recommender-System

roclark / clarktech-ncaab-predictor

30lm32 / ml-spam-sms-classification

njtierney / broomstick

benjilu / forestError

brandmaier / semtree

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

rohitinu6 / NeoLung

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

Ariannahs / Ad-Fraud-Detection-With-Machine-Learning

erdogant / treeplot

NASA-DEVELOP / WET2.0

dhondta / malicious-macro-tester

AIVenture0 / PubG-Win-prediction-using-ML

Frid0l1n / Random-Forest

insilico / privateEC

imharshag / Fake-news-Detection-using-ML

krishnapriya-18 / Women-Data-Science-Hackathon-by-Bain-Company

mecyc / TFG_RADAR_60GHZ

MahsaShk / ApacheSpark

punitkumar4871 / Backpack_Price_Prediction

radityawiguna / Spark-Mllib-Telco

Singh-Prince-Rinku / Random_Forest

addievo / phishingDetection

francescopatane96 / Bioactivity-prediction-with-ML

itsmethahseer / Regression_Algorithms

joymnyaga / CustomerAnalytics-Predicting-Customer-Churn

karolcichosz / project-plagiarism-detection

shashank31mar / Product-Classification

sreevathsagolla / SARS-Coronavirus-Bioactivity-Prediction

YadavAkash96 / Detect_Phishing_Website

Ashishkumar-hub / Car-Price-Prediction

fhaoguo / toutiao_news_cls

Sarah-2510 / Customer-Lifetime-Value-Prediction

sjapanjots / Wine_Quality_Prediction_RandomForest