Build a predictive model to automate the process of targeting the right applicants

Build a predictive model to automate the process of targeting the right applicants

Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.

In this tutorial, we will use Watson Studio to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak® for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.

In this code pattern, you will learn to build a machine learning model with no code on IBM Cloud Pak for Data, create a streaming flow on AWS Cloud and invoke the model to get predictions in real-time.

A graduate-level course on advanced data analytics with IBM SPSS Modeler, covering supervised and unsupervised modeling in a CRM context.

spss

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The aim of this research is to predict how many of Fresco's loyalty cardholders can be categorized as low spenders (£50 or less per week) and high spenders (£50+). It will help the marketing team identify customer segments with which they should implement targeted promotional strategies

Mindlytics is a mental health prediction web application that leverages a machine learning model built using SPSS Modeler 18.5 and deployed on IBM Watson Studio. The system enables users to answer a set of predefined mental health assessment questions, and then predicts their mental state in real-time using Watson’s public API endpoint.

This study uses conjoint analysis to evaluate customer preferences regarding different features of a mobile phone, with the aim of guiding product design for an upcoming launch. The preferences were collected by asking respondents to rank combinations of features, and utilities were derived using linear regression

This report presents a segmentation analysis conducted on a UK bank's customer dataset using hierarchical and two-step clustering techniques. The objective was to identify homogeneous customer groups to support the development of targeted financial products and services.

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

This project delivers a time series analysis and short-term forecasting of daily UK Covid-19 case counts using ARIMA models, based on data from January 1, 2020 to June 14, 2020. All analysis was conducted in IBM SPSS, aiming to assess stationarity, build a parsimonious ARIMA model, and forecast cases for the period 15–21 June 2020.

🧠 HANA — Human Agency Neural Architecture Repositorio central del proyecto doctoral y arquitectónico de Alexandra Bustos Frati. Explora cómo los Estados coordinan su soberanía regulatoria en el comercio digital, y cómo esa inteligencia se transforma en ensamblajes vivos de acceso público.

In this tutorial, we will use IBM Cloud Pak for Data to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.

Using SPSS modeler, I will elaborate different models that will give us insights on different aspects of the online job posting in Armenia between 2004-2015.

Proyectos de Machine Learning con SPSS Modeler

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DASS (Depression Anxiety Stress Scales) Prediction using IBM SPSS Modeler (Methodology - CRISP DM)

In this workshop, we will explain how to graphically build and evaluate machine learning models by using the SPSS Modeler flow feature in IBM® Watson™ Studio. IBM Watson SPSS Modeler flows in Watson Studio provide an interactive environment for quickly building machine learning pipelines that flow data from ingestion to transformation to model building and evaluation, without needing any code. This workshop introduces the SPSS Modeler components and explains how you can use them to build, test, evaluate, and deploy models!🤩

Ergonomic Rust bindings for the SPSSIO C Module

As part of our expansion strategy, we are preparing to open a new used car sales branch in Mississauga, Ontario. To ensure data-driven decision-making, we analyzed historical sales data from our Toronto branch using SPSS Modeler and Cognos. This analysis helps us understand key market trends and determine pricing strategies.

Project focused on predicting bike rentals using machine learning models (linear regression, random forest, neural networks, etc.) in IBM SPSS Modeler. Dataset: Bike Sharing (UCI ML Repository).