variance-analysis

KwokHing/YandexCatBoost-Python-Demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

LautaroParada/variance-test

Implementation of Lo and MacKinlay's statistical tests from A Non Random Walk Down Wall Street

matteocereda/GSECA

Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

fokep/Sanso_et_al-ICSS

GAUSS implementation of ICSS from Sansó et al. "Testing for Changes in the Unconditional Variance of Financial Time Series"

Erhtric/optfolio

This is the repo for the project in Combinatorial Decision Making and Optimization at @unibo: optimizing a stock portofolio by using linear and quadratic optimization functions.

jingxuanyang/Batch-Recursive-Formula-Variance

In this note, we will give the recursive formulas for sample mean and sample variance, and their generalized forms for batch updates.

abhijha3011/Techniques-For-Feature-Selection

Techniques For Feature Selection

dBalag/Chinook

The Chinook Data Analysis Project leverages PostgreSQL, Python, and Google Spreadsheets to explore and analyze the Chinook music store database. Insights will be presented through Tableau Dashboards and Stories. Stay tuned for updates as the project evolves.

jingxuanyang/Stepwise-Sample-Means-Variance

In this note, we will analyze the variance of stepwise sample means (SSM).

Samahussien7/Hamming-Network

Hamming Network implementation using pca implementation for reduction all from scratch

Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

boratutumluer/ab-test

:pill: AB Testing Between Versions

forestluo/Matlab

Algorithm based on Matlab.

KasiMuthuveerappan/FintechCapstone-LoanDefaulters

📗 This repository contains the EDA of loan defaulters, analyzing factors like loan type, ROI, and credit scores. It utilizes Random Forest and XGBoost to clean discrepancies, providing insights to enhance risk assessment and inform lending strategies, making it ideal for financial analysts to mitigate loan default risks.

madhura711/American-Airlines--Data-Mining-and-Variance-Analysis

oktaviacitra/cluster-analysis

Clustering data ruspini menggunakan k-means dan menganalisa cluster menggunakan variance

S-CHAN11/Principal-Component-Analysis

In this project, I've used College/University data to perform Principal Component Analysis and provide its implications to the business

Shrihari2795/Variance_Analysis_and_Performance_Dashboard_Using_Microsoft_Excel

An employer has tasked a data analyst with utilizing the provided raw data to generate insightful visual representations. The goal is to extract valuable insights that can contribute to enhancing the overall performance of the company.

skn1998/Feature-Selection

Feature Selection in ML using Python

Teliteu/biostatistics

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

VaishakhiShah/Internship-Journey-at-Hikma-Pharmaceuticals

Summer Internship 2024 at Hikma Pharmaceuticals USA Inc.

vinismachadoo/aviacao-civil-brasil

✈️ Variance analysis of flight delays to conclude which one of the biggest airline companies in Brazil is the best

JOHNcoding9/Calculator

projeto de calculadora capaz de fazer o calculo de: variância, desvio padrão, Fibonacci, logaritmos e fatorial além das operações básicas

SCUS3/Principal-Component-Analysis-PCA-Implementation

This repository contains a Python implementation of Principal Component Analysis (PCA) for dimensionality reduction and variance analysis. PCA is a powerful statistical technique used to identify patterns in data by transforming it into a set of orthogonal (uncorrelated) components, ranked by the amount of variance they explain.

shrey1216/Statistical-Tests-and-Analysis-in-R

Performing Statistical Tests and Analysis in R

subhayuroy/Anomaly_Detection

💻Anomaly detection can be 👨‍💻treated as a statistical📉 task as an outlier analysis📊. But if we develop a machine learning model📈, it can be automated and as usual, can save a lot of time🕐