thehapyone / Predictive-Maintenance-ProjectLinks
In this project, high dimensional noisy data collected from thousands of trucks during the course of 4 years was compressed using Artificial Neural Networks (ANN). This compressed meaningful information was used for performing predictive maintenance on turbochargers. Our novel deep learning ANN architecture, compressed vehicle data by over 87% w…
☆13Updated 5 years ago
Alternatives and similar repositories for Predictive-Maintenance-Project
Users that are interested in Predictive-Maintenance-Project are comparing it to the libraries listed below
Sorting:
- Examples for the RL course☆12Updated 6 months ago
- Developed at the IEEE CS SPIT Aeravat 1.0 AI Hackathon☆13Updated last year
- Profit-driven demand forecasting with gradient boosted trees☆10Updated 2 years ago
- The objective of this project is to develop a Monte Carlo simulation model for portfolio optimization to maximise an investor's max retur…☆10Updated last year
- Code for my JavaScript browser-based retirement calculator http://www.abrandao.com/retire/☆11Updated 5 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Updated 4 years ago
- https://www.researchgate.net/profile/Rajah_Iyer☆50Updated last year
- Scripts for validating retirement plans using Monte Carlo analysis.☆11Updated last year
- Application of machine/deep learning models & algorithms in the energy sector☆14Updated last year
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆15Updated 4 years ago
- The project is a machine predictive maintenance application that uses machine learning (Random Forest) to classify whether a machine wil…☆21Updated 2 years ago
- Data package for R actuarial workshops☆12Updated 2 years ago
- Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Bin…☆10Updated 7 years ago
- EDA and Time Series Stream Clustering for London Smart Meter Dataset, using Autoencoder with Kmeans algorithm, DB Scan, and Hierarchical …☆12Updated 4 years ago
- In this repository you will find scripts, datasets, examples developped in the book "System Reliability Theory; Models, Statistical Metho…☆19Updated 4 years ago
- A repository for retirement and wealth management simulations.☆19Updated last month
- A Quantitative Finance Engineering Project☆13Updated 2 years ago
- Course materials for Introduction to Time Series, Fall 2023☆12Updated 10 months ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆10Updated 5 years ago
- A Program to calculate the price of American put or call option with Least Square Monte Carlo☆13Updated 2 years ago
- Scalable Models of Probabilistic Forecasting with Fuzzy Time Series, PhD Thesis☆10Updated 3 years ago
- ☆13Updated 2 years ago
- 📝 Introduction to Monte Carlo methods in Finance Workshop Materials☆21Updated 2 years ago
- A pricing program for a whole-life insurance with annuity☆10Updated 4 years ago
- Individual Claims Forecasting with Bayesian Mixture Density Networks☆16Updated 2 years ago
- Notebooks for the Algorthmic Machine Learning class @ Eurecom☆13Updated 8 years ago
- Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.☆18Updated last year
- FiscalSim US is a microsimulation model of the US federal and state tax and benefit system relating to households and individuals.☆11Updated 9 months ago
- Computational Finance And Financial Econometrics - This course is an introduction to computational finance and financial econometrics - d…☆11Updated 4 years ago
- package for automated sales forecasting☆19Updated 2 years ago