Recursive Partitioning for Structural Equation Models

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

🌳🌳 Lightweight cost-effectiveness analysis using decision trees.

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.

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

🌴↔️💊 Easy, robust forward simulating decision trees, calculating cost-effectiveness and PSA.

Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large num…

That's a project of machine learning, made in order to determine possible numbers to win a lottery (not finished yet).

Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.

Analytical tool to help the company decide whether the employee will stay or not

This model performs regression on the given Dataset, and shows the best out of four machine learning Models with plots.

Microsoft's closing stock price prediction by ARIMA, Decision Tree and GARCH models in R Studio

Resample, parameter tuning, meta-learning, clustering, and mining algorithms for the purpose of data mining and machine learning.

Shiny App: Calculation of Age-dependent Reference Intervals (AdRI)

Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R

Research is mainly focus to predict and identify the Terrorist or Perpetrator, To do this, we use an existing data set and apply different Classification Techniques to analyze and interpret the factors that affect our model. For this we use Decision Tree, regression model and Random forest classification.

Sales forecasting with random forest, decision tree. Promotion effect calculation.

Avaliação do estado de aplicativos Android entre os anos de 2010 e 2018 presentes na Google Play Store por técnicas de visualização de dados. Identificação de parâmetros potencialmente importantes para o número de instalações de um aplicativo e seu envolvimento com a precificação (gratuito ou pago), através do uso de técnicas de machine learning.

Collection of R files consisting of predictive models built using various machine learning algorithms such as Decision Trees, Random Forests, Naive Bayes, etc