Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups

Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative

Master Thesis

Power Link Functions in Modeling Dependent Ordinal Data

Symbolic Aggregate approXimation analysis on skewed Time Series Data

Create a ML model using Random Forest Classifier over skew (imbalanced) booking data

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

A research on how macroeconomic, microeconomic factors and personal data could affect mortgage risk using Machine Learning techniques.

Identifying Pulsar Signals from RFI noise (HTRU2 dataset)

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020

Analyze the energy consumed by household appliances. Explore individual features to assess whether the data is skewed and perform feature engineering to create new features

This repo contains mpg dataset analysis with Advanced ML algorithms.

This repository contains simple statistical R codes used to describe a dataset. These scripts provide a summarized and easy way of estimating the mean, median, mode, skewness and kurtosis of data. It also provides codes for calculating the covariance.

This is a simple android app which detect Skewness in binary text image and correct it, using OpenCV library.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Tutoriales sobre medidas de dispersión en R

Stochastic tools, distrubution, analysis