ceredamatteo-lab/GSECA

Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

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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.

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forestluo/Matlab

Algorithm based on Matlab.

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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.

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VaishakhiShah/Internship-Journey-at-Hikma-Pharmaceuticals

Summer Internship 2024 at Hikma Pharmaceuticals USA Inc.

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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.

Language: Python - Size: 35.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Teliteu/biostatistics

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

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Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

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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

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

Size: 2.23 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

Samahussien7/Hamming-Network

Hamming Network implementation using pca implementation for reduction all from scratch

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oktaviacitra/cluster-analysis

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

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Happyxianyueveryday/statslibrary

统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

Language: Python - Size: 6.44 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 70 - Forks: 23

abhijha3011/Techniques-For-Feature-Selection

Techniques For Feature Selection

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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

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

Performing Statistical Tests and Analysis in R

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jingxuanyang/BRF-Variance

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

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jingxuanyang/SSM-Variance

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

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LautaroParada/variance-test

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

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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.

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vinismachadoo/aviacao-civil-brasil

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

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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🕐

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