A MATLAB library designed to help fMRI block-based studies construct word lists for experiments, ensuring minimal correlation between words. This library provides methods for adjusting word list length and offers flexibility for user customization.

IU Lessons

A mini paper in machine learning which determines factors that affect Twitch stream views. Data obtained from Kaggle.

Find and Compute optimal submatrix of invalid correlation matrix

Repo where different methods for price regression are used (supervised machine learning)

it is a comprehensive collection of data analysis and visualizations. It cover a wide range of scenarios, from exploring employee productivity and landscaping job completion times to assessing the overall productivity of a business.

Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions

Instant Polychoric and Polyserial Correlation

Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.

This repository includes a small project that includes main ML topics as a reference.

Construction of functional network from fMRI tasked-based data

Random forest ML model for phishing website detection

Comparing the progress of the Corona Virus with trends in Google and Twitter.

Demonstration of how to use correlation matrices to pick the best variables for polynomial regression.

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris data was visualized using box plots, pairplot, subplot, and scatter plots for better comprehension of the dataset.

PySpark for multiple linear regression on car horsepower using SMOTE for data augmentation.

This project involves analyzing different aspects of Diabetes in the Pima Indians tribe by doing Exploratory Data Analysis.

NearestNeighbors and correlation matrix for book recommendation.

Exploratory Data Analysis and Visualization-GDP is one of the most important indicator in determining the performance of country economy.The significant factors affecting gdp are population,agriculture,service,industry,health,migration,urban and obesity which are recorded in the dataset. Null hypothesis is that population,agriculture,service,ind…