plinn756

plinn756's Stars

• 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.

  Language:Jupyter Notebook1899369

• 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.

  Language:Jupyter Notebook151012

• diogomenezesborges/bigmart-sales

  This is my approach on Analytics Vidhya BigMart’s sale prediction hackathon.

  Language:Jupyter Notebook150016

• Cospel/kaggle-rossmann

  Prediction model for Kaggle/Rossmann competition.

  Language:Python14216

• NemoHoHaloAi/FinalProject

  Rossmann药品销售预测

  Language:Jupyter Notebook14204

• chiragsamal/Predict-Food-Delivery-Time

  Predicting Food Delivery Time using Machine Learning

  Language:Jupyter Notebook10306

• SuyashLakhotia/RossmannStoreSales

  :moneybag: Predicting the sales of Rossmann drug stores through machine learning.

  Language:Python10509

• krishnapriya-18/Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool-MachineHack-

  AIR 2 / 1450

  Language:Jupyter Notebook9101

• dmoni91/Sales-Forecasting

  Forecasting sales of Rossmann store based on past data

  Language:Jupyter Notebook7103

• meizmyang/Rossmann-Sales-Prediction

  Language:Jupyter Notebook7113

• 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.

  Language:Jupyter Notebook5

• nikhilpatil44/bigmart-sales-prediction

  Bigmart Sales Prediction

  Language:Jupyter Notebook5102

• ShauryaBhandari/Bigmart-Sales-Prediction

  Solution of the Bigmart Sales Prediction problem by Analytics Vidhya

  Language:Python5203

• akash-vartak/BigMartSales3

  Analytics Vidhya Big Mart Sales 3 Problem

  Language:Jupyter Notebook3204

• aasu14/Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool

  Hackathon

  Language:Jupyter Notebook2202

• deeplearning-itba/kaggle-rossmann

  Language:Jupyter Notebook22034

• Rigsto/meal-delivery-company

  Analytics Vidhya Genpact Hackathon (December 2018) from Kaggle Dataset

  Language:Jupyter Notebook10

• 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.

  Language:Jupyter Notebook1

• ss-007/Delivery-Time-Prediction

  This will predict the time required for 'Food Delivery'.

  Language:Jupyter Notebook1101