A beginners tutorial for using Python for exploratory analyses

Modeling of strength of high performance concrete using Machine Learning

Classification model to classify whether a customer is going to churn or not. Using the dataset EDA is done.

R package as a result of Scout Jarman's URCO grant reaserch.

This Repository Consists the exam Problems and solutions conducted on September - 2021

Data Anlysis project created with the use of VLOOKUP, pivot tables, and graphing in Excel to visualize data results.

This repository shows how outliers affect best fit linear regression line and how we can overcome this outlier problem with regularization.

Analyzing data and creating visuals using Matplotlib

Exploratory Data Analysis (EDA) on a dataset from Kaggle

Clustering on gene expression array.

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.

EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a c…

This repo contains EDA of red and white wine and how it relates to quality.

Dixon's Q Test calculator package for Dart

To explore the given dataset for all basic statistics such as the distributions, correlations, outliers, missing values, etc.

This repository contains the source code for Statistics.JS.

Sprint 9, Task 1

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2

Industry specific framework of Feature Engineering in Machine Learning