A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

A set of tools to understand what is happening inside a Random Forest

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

Misc Statistics and Machine Learning codes in R

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

R package to fit spatial models with Random Forest

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

A random-forest-based approach for imputing clustered incomplete data

A document covering machine learning basics. 🤖📊

Define, build, and evaluate machine learning models for real-world applications

This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (L…

R package for random forests model selection, inference, evaluation and validation

Fast multivariate imputation by random forests.

exploratory data analysis using random forests

Machine Learning algorithms coded from scratch

Accelerated Oblique Random Survival Forests

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS