Template for data science projects (R-based) which includes a few useful utilities.

Analyzing transactions of a retailer to predict promotional items.

This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

Machine Learning in Healthcare Course with R

A simple R program that implements a very basic Polynomial Regression on a small data set. Because these data set don't have liner relationship between independent variable and dependent variable. so if we use the liner model then well get very High error. so in these example w'll compare both the model and select which one is best.

The goal of this project is to use different Machine Learning algorithms to try to predict the rating that an user will give to a movie. To achieve this, we will use the Machine Learning models and statistics that we have learnt during the Data Science course and we will finally choose the one that gets the minimum RMSE number. The dataset is al…

This repository contains the necessary scripts to derive off-target models through (1) A neural network framework based on Keras and Tensorflow (2)An autmomated machine learning framework based on AutoGluon

R package for machine learning classification model evaluation.

This was the Capstone project for my Masters degree. This project looked at data provided by Spotify in an effort to help determine which of 10 future tracks a listener would skip based on their listening history with 10 historical tracks in a session.

This project was conducted as part of the 'Data Prediction Model' class during the 2023-1

Machine learning binary classification RStudio

In this project I am interested in classifying if existing vessels have the option of using alternative fuels based on vessel specific features.

Master the skills of machine learning with R. Full course code snippets

Using Machine Learning to predict wine review scores based on binarized tasting notes

VEV model from Mclust among 5 clustering algorithms has optimal performance and detected 8 distinct groups of users. Data was cleaned, standardized and feature-selected, PCA’s biplot, Ggplot, Radar plots, and parallel coordinate plots were applied for EDA.