There are 3 repositories under spss-statistics topic.
Seminar Research Class at UTD for PhD students in Criminology
Exploring the main time series analysis approaches: Decomposition, Exponential smoothing, ARIMA models. Using Excel, Matlab, SPSS statistics.
Majorly focus on python file debugging
Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.
IST470 Categorical data analysis term paper.
Multivariate analysis is conceptualized by tradition as the statistical study of experiments in which multiple measurements are made on each experimental unit and for which the relationship among multivariate measurements and their structure is important to the experiment's understanding. For instance, in analyzing financial instruments, the relationships among the various characteristics of the instrument are critical
Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
Projet d'analyse en composantes principales réalisé en Python et SPSS.
Comfortable/aware of how to run your stats in SPSS? Curious to learn how to run them in R? You've come to the right place.
Two step cluster analysis was performed using SPSS in a health drink dataset to find the number of groups that can be formed based on the characteristics.
Buliding a predictive model to help the banks in predicting the probability of a customer defaulting in the future based on the historic data is the ultimate objective of the project . For which structured methodology is followed, in which the historic data of the customers are cleaned , splitted for testing and training , independency are checked ,classification algorithms were used like J48,Naïve Bayes, MLP,base line accuracy for the available data set is calculated, models were repeatedly tested and trained with Hold out and K-fold cross validation methods ,significant features are selected and the models were re evaluated for accuracy and precision comparison , model errors are address with the ROC .Individual model outputs are captured and compared with each other to get the best model for the Defaulter prediction.
SPSS Quantative and Qualitative Data Analysis. 10,000 word missing persons dissertation.
All technical Solution under one umbrella
This research suggests that implementation of a phased retirement program may be used as a tool to retain dedicated workers.
Proyectos de Machine Learning con SPSS Modeler
Statistical Analysis on the Views of Americans in the field of science and technology development in the distinct future.
Speed Dating Experiment - Data analysis using SPSS and Excel
World Happiness Report - Data Analysis using SPSS and Excel
My first main Exploratory Project on Python. Data Analyst and aspiring Data Scientist here in love with Data!
Class project for CRM Data Analysis
People Analytics Project on Factors affecting Employees Performance during Covid-19
Uncovering patterns in the Dublin Marathon 2019
A project using SPSS Statistics to determine the attitudes UBC students have towards Lululemon
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
Survey Analysis using SPSS
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.show the all work toword the data science.
This repository applies data analytics for environmental sustainability, focusing on pollution remediation and product management. It features research with contaminated samples from the Davidschacht mining area in Freiberg, Sachsen, aiming to optimize pollution reduction and enhance sustainable product development.
Statistik-Infosammlung für Studierende, Forschende und Unternehmen.
This repository provides a comprehensive guide to IBM SPSS Modeler, including an overview of its key features and functionality.
This is the repo includes all files used for implementing “Magic Formula” and creating new value investing strategies in Chinese stock market.