prescriptive-analytics
There are 3 repositories under prescriptive-analytics topic.
decisionbrain / cplex-scala
A scala library for IBM ILOG CPLEX
Language:Scala 19codewithpatelo / topsis
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
Language:JavaScript 9- Language:R 7
This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.
Language:JavaScript 6More than a billion of the rural merchants in the developing world commonly depend on hiring on-demand transportation services to commute people or goods to markets. The process of selecting the optimal fare involves handling decision-making characterised with multiple alternatives and competing criteria. Decision support systems are commonly used to solve these types of problems. However, most widely used systems are based on object-based approaches which lack high-level abstractions needed to effectively model and scale human-machine communication. This paper reviews previous literature on the field and introduces an improved preliminary agent-based decision-support approach to overcome those challenges. As a proof of concept, we developed a two-agent simulation that, given a request from one of the agents, the other one takes a dataset of a stratified sample of 104 Ethiopian commuter criteria preferences taken from the Dukem region and an exemplary dataset of fare alternatives. The assistant agent computes those datasets using widely used HPA and TOPSIS algorithms to weight, score, rank those alternatives. Once we run the simulation, in a matter of milliseconds the assistant agent effectively returns an optimal prescription to the other agent, storing all interactions in a self-contained memory resulting in an architecture that allows developers to program further customisation as interactions scale.
Language:JavaScript 5McGill-MMA-EnterpriseAnalytics / datasectuals
Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign
Language:Jupyter Notebook 5avikumart / Recommender-systems-algorithms
In this repository, I have share notebook which contains recommender systems algorithms like apriori, collaborative filtering and SVD using surprise library of python.
Language:Jupyter Notebook 3IAARhub / dssCelphones
Prescriptive Analytics Case. A simple implementation of AHP and TOPSIS in python to help a human selecting a phone within an array of 10k celphone options based on a given budget.
Language:Python 3NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
Language:JavaScript 3Anamicca23 / Bike-Rental-Prediction
Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.
Language:Jupyter Notebook 2An automated decision-support system to analyse if an article of Argentine Media is worth based according to linguistic analysis of the text.
Language:CSS 2NeuraXenetica / comport_ai
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
Language:Python 2Synaptans WorkforceSim is a free open-source web app for simulating the complex dynamics of a factory workforce – including workers’ daily job performance, personal interactions with their peers and supervisors, and attrition.
Language:Python 2anjujacob / Win-Prediction
Win Prediction - Project
bryce-bowles / alchemy-broker-modeling
Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests, and support vector machines) were built, evaluated, and then tuned for prescriptive measures to analyze broker performance. Explored, visualized, and described five groups of brokers using principal component analysis.
Language:R 1This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.
Language:JavaScript 1mamomen1996 / R_CS_08
Algorithmic Trading in R
Language:HTML 1siddharthnaik7 / marketing-campaign-effectiveness
Marketing Campaign Effectiveness (Prescriptive Analytics)
yeeeseul / Business-Intelligence-case-study-Uber
Business Intelligence - Uber(Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
ArpitaShrivas001 / Bank_Subscription_Model
Determined bank customer’s subscription credibility by training ML model, achieving an accuracy of 88%. Visualized model predictions against past data to facilitate data-driven decision-making.
Language:Python 0iotty / lingo-optimization-templates
A solve and run template in tackling your everyday optimization problem, implemented in LINGO
0nheilemann / smart_stochastic_scheduling
This study presents a Smart Stochastic Scheduling (SSS) model for Robotic Process Automation (RPA) that effectively manages uncertainties in job runtimes.
Language:Jupyter Notebook 0pedramsafaeifar / predictive_timeseries_analysis_R
An end-to-end code solution involves performing EDA and sales prediction using time series analysis in R with ML models and evaluating their performance based on accuracy metrics.
Language:R 0- Language:Jupyter Notebook 0
shimonyagrawal / NYC-Real-Estate-Analysis
This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.
0Business Intelligence - NSW Crime (Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
0C4CAnalytics / population-health-management
This project examines how actionable analytics can be applied within healthcare settings to better manage population health.
elensah / prescriptive_models
This repository contains working files for MGMTMSA 406 offered at UCLA Anderson, and attempts to solve brain teasers in Causal Inference and Prescriptive Models.
Language:Jupyter NotebookGonxaTroll / Exact-models-and-metaheuristics-for-team-formation-TFG_Code
This repository includes the code of all solutions implemented in my bachelor's thesis.
Language:Jupyter Notebook
