This is the repo includes all files used for implementing “Magic Formula” and creating new value investing strategies in Chinese stock market.

SPSS to build decision tree, KNN and classification models

Data preparation and analyses for: "Arrived in power, and yet still disgruntled? How government inclusion moderates 'protest voting' for far-right populist parties in Europe"

MA Thesis Project — Can the representation of event sequence influence how jurors remember and reason in a legal case? [A study in multimedia learning]

In this project regression model is used that pertains to a summary estimate to how strongly crude death rate is dependenton other factors such as current health expenditure, food safety, physicians density and legislation score and predict the crudedeath rate accordingly. Also, logistic regression model is used that pertains to a summary estima…

Statistik-Infosammlung für Studierende, Forschende und Unternehmen.

SPSS - I led a student consultant team for conducting market research in Parrish Library, Purdue Unversity.

A project using SPSS Statistics to determine the attitudes UBC students have towards Lululemon

Project-

Survey Analysis using SPSS

This repository stored the output of IBM SPSS's multiple linear regression and factor analysis of red wine quality dataset. The dataset used is from Kaggle (https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009). The software used in this repository is IBM SPSS 26

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.show the all work toword the data science.

Portfolio Website

Class project for CRM Data Analysis

This repository provides a comprehensive guide to IBM SPSS Modeler, including an overview of its key features and functionality.

My first main Exploratory Project on Python. Data Analyst and aspiring Data Scientist here in love with Data!

People Analytics Project on Factors affecting Employees Performance during Covid-19

Uncovering patterns in the Dublin Marathon 2019

CTSI Information Management