Feature Selection

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

Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.

Predicting condominium rental income using comparable units and various models

Crime and Incarceration in the United States contain data on crimes that are committed, and the prisoner counts in every 50 states, for which the data is analyzed using various analytical methods.

Poster is available:

Create beautiful tiles of scatterplots between variables in MATLAB

LASSO and Boosting for Regression on Communities and Crime data

Construction of functional network from fMRI tasked-based data

Understand the factors contributing to flight delays. This project focuses on analyzing a comprehensive flight status dataset to uncover insights that could help mitigate inefficiencies in air travel.

Find and Compute optimal submatrix of invalid correlation matrix

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

This project attempts to forecast the vehicle risk rating for an insurance company. Different data mining applications will be used and compared to see which one is best fit for this dataset.

Data Analysis for Bellabeat, extracting valuable insights on consumer smart device usage. The findings informed impactful marketing strategies, showcasing expertise in data analysis, problem-solving, and effective communication of insights.

📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.

IU Lessons

The music recommendations made by Spotify, a music app, are excellent. It recommends music based on the songs and artists you usually listen to. The algorithm groups comparable features into clusters, and these clusters aid in comprehending the auditory properties of diverse songs.

A Novel Methodology of Domain Wise feature selection approach which is capable of identifying the interrelationships by focusing on Domain-Wise feature selection. It ensures that correlated and similar features are considered together by grouping them in similar domains based on correlation values

This project conducts in-depth analysis and visualization on a bike sales dataset, identifying key insights such as customer revenue distribution, age group purchasing trends, profit margins by region, and inter-feature correlations.

A Univariate and Multivariate analysis on National Demand across four years to find patterns of cyclicity and also relationships against energy generation, temperature and wind speed