shashwatsanket997 / Big-Mart-Sales-PredictionLinks
A perfect project to learn Data Analytics and apply machine learining algorithms to predict the outlet production sales.
☆17Updated 5 years ago
Alternatives and similar repositories for Big-Mart-Sales-Prediction
Users that are interested in Big-Mart-Sales-Prediction are comparing it to the libraries listed below
Sorting:
- Electric Vehicle Market Segmentation Analysis in India☆14Updated 5 months ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆48Updated 4 years ago
- Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…☆14Updated 3 years 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…☆28Updated 5 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆65Updated 5 years ago
- Complementary Jupyter notebooks for load forecasting tutorial.☆12Updated 5 years ago
- Webapp to predict the Air Quality Index of a region given climate conditions.☆60Updated 2 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆26Updated 3 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆94Updated last year
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆42Updated 5 years ago
- Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are …☆66Updated 4 years ago
- Short-term load forecasting with machine learning☆10Updated 3 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆96Updated 2 years ago
- An analysis of electric vehicle charging times given usage data☆12Updated 9 years ago
- This is a project of twitter sentiment analysis using machine learning(Support Vector Machines,Naive Bayes), deep learning(LSTM), Transfo…☆20Updated 4 years ago
- Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)☆57Updated 2 years ago
- A conversational agent or a chatbot is piece of software which can communicate with human users with the help of natural language process…☆16Updated 7 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- Building Recommendation Model for the electronics products of Amazon☆97Updated 6 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆16Updated 4 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆11Updated 4 years ago
- Prediction of Solar Power Generated by a power plant using artificial neural networks☆78Updated 4 years ago
- Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models☆43Updated 7 years ago
- Detection and Prediction of Air quality Index☆54Updated 4 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆143Updated 2 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 2 years ago
- Forecasting Solar Power: Analysis of using a LSTM Neural Network☆53Updated 5 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆39Updated 6 years ago