SaiPrasath-S / DemandPrediction
“Food Demand Forecasting” - A Machine Learning Hackathon Dataset released by an American professional services firm, Genpact.
☆2Updated 5 years ago
Alternatives and similar repositories for DemandPrediction:
Users that are interested in DemandPrediction are comparing it to the libraries listed below
- Multivariate time series forecasting using the VAR Model in Python. Video Explanation available on my Youtube channel: https://www.youtub…☆24Updated 3 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆54Updated 2 years ago
- ☆15Updated 3 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆22Updated 2 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- This notebook demonstrates how to implement Tensorflow & queries to forecasting for a very big dataset. ANN with 2 hidden layers has been…☆9Updated 6 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆31Updated 6 years ago
- Config files for my GitHub profile.☆15Updated last year
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆15Updated 3 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆65Updated 5 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆54Updated 5 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆27Updated 6 years ago
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆89Updated last year
- Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)☆42Updated 2 years ago
- ☆208Updated 2 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆31Updated 3 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆29Updated 4 years ago
- Prediction of Solar Power Generated by a power plant using artificial neural networks☆65Updated 3 years ago
- Econometric Approach to Time Series Analysis — Seasonal ARIMA in Python☆23Updated 5 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 3 months ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆27Updated 4 years ago
- ☆25Updated 4 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆43Updated 2 years ago
- AI-driven predictive maintenance for vehicles using GBM models on real-time sensor data. Proactive fleet management, cost reduction, and …☆14Updated 7 months ago
- Supply Chain Optimization with Python☆81Updated 3 months ago
- Fully coded with Google Colab.☆27Updated 3 years ago
- This projects develops several SARIMAX time series models and neural networks (LSTM, GRU, CNN) to predict the hourly heat demand in a dis…☆9Updated 4 years ago
- Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models☆41Updated 6 years ago
- Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.☆30Updated 2 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆58Updated 4 years ago