plinn756's Stars
meizmyang/Rossmann-Sales-Prediction
deeplearning-itba/kaggle-rossmann
NemoHoHaloAi/FinalProject
Rossmann药品销售预测
Cospel/kaggle-rossmann
Prediction model for Kaggle/Rossmann competition.
elena-roff/time-series-prophet
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
chinmayjoshi789/Bigmartsales-Regression
Sales Prediction for Big Mart Outlets The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and predict the sales of each product at a particular outlet. Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales. Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
nikhilpatil44/bigmart-sales-prediction
Bigmart Sales Prediction
ShauryaBhandari/Bigmart-Sales-Prediction
Solution of the Bigmart Sales Prediction problem by Analytics Vidhya
akash-vartak/BigMartSales3
Analytics Vidhya Big Mart Sales 3 Problem
diogomenezesborges/bigmart-sales
This is my approach on Analytics Vidhya BigMart’s sale prediction hackathon.
ss-007/Delivery-Time-Prediction
This will predict the time required for 'Food Delivery'.
aasu14/Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool
Hackathon
krishnapriya-18/Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool-MachineHack-
AIR 2 / 1450
chiragsamal/Predict-Food-Delivery-Time
Predicting Food Delivery Time using Machine Learning
dmoni91/Sales-Forecasting
Forecasting sales of Rossmann store based on past data
deadskull7/Rossmann-Store-Sales-Predictions
Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. Prediction is of 6 weeks of daily sales for 1,115 stores located across Germany.
Rigsto/meal-delivery-company
Analytics Vidhya Genpact Hackathon (December 2018) from Kaggle Dataset
Shruti-Ve/Kaggle-Meal-delivery-company
Worked on Kaggle Supervised dataset to build a model using predictive analytics with the CRISP-DM method. Built a predictive model using different algorithms like linear regression model and decision tree regressor and performed cross-validation to find the best model to predict the final target variable. Predicted number of orders for a future time period and used performance measures like MAE and MASE to measure model performance.
SuyashLakhotia/RossmannStoreSales
:moneybag: Predicting the sales of Rossmann drug stores through machine learning.