shashwatsanket997 / Big-Mart-Sales-Prediction
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
- This is my approach on Analytics Vidhya BigMart’s sale prediction hackathon.☆15Updated 6 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆52Updated 4 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆109Updated 7 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 3 months ago
- A web app for Flight Delay Prediction using Random Forest Classifier☆23Updated last month
- Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection an…☆12Updated 2 years ago
- You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall rev…☆28Updated 2 years ago
- This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-w…☆20Updated 9 months ago
- A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specif…☆32Updated 7 years ago
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆30Updated 3 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆32Updated 3 years ago
- Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whe…☆12Updated 2 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆91Updated last year
- Association rule mining is a technique to identify underlying relations between different items.☆65Updated 5 years ago
- ☆20Updated 4 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆40Updated 2 years ago
- Food Demand Forecasting Challenge☆15Updated 5 years ago
- Webapp to predict the Air Quality Index of a region given climate conditions.☆55Updated last year
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆57Updated 5 years ago
- Predict your Medical insurance cost!☆91Updated 8 months ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆42Updated 6 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆82Updated 5 years ago
- Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models fro…☆22Updated 7 months ago
- Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation a…☆93Updated last year
- Heart Disease prediction using 5 algorithms☆117Updated 6 months 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
- 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
- “Food Demand Forecasting” - A Machine Learning Hackathon Dataset released by an American professional services firm, Genpact.☆4Updated 5 years ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆18Updated 4 years ago