abhinav-bhardwaj / Walmart-Sales-Time-Series-Forecasting-Using-Machine-LearningLinks
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
☆36Updated 4 years ago
Alternatives and similar repositories for Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Users that are interested in Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning are comparing it to the libraries listed below
Sorting:
- A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.☆92Updated 4 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆34Updated 4 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
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆62Updated 5 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
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆16Updated last year
- Solved end-to-end machine learning projects☆35Updated 2 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the Price of …☆35Updated 2 years ago
- ☆37Updated 4 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆15Updated 6 years ago
- Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.☆51Updated 3 years ago
- I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The A…☆60Updated 5 years ago
- 5 machine learning techniques to forecast product sales☆142Updated 2 years ago
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆20Updated 4 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆77Updated 5 years ago
- ☆220Updated 3 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆223Updated 2 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆45Updated 4 years ago
- ☆28Updated 2 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆47Updated 4 years ago
- Supply Chain Optimization with Python☆99Updated 7 months ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆90Updated 3 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆153Updated 2 years ago
- Time Series Analysis and Forecasting in Python☆186Updated last year
- A data science project to predict whether a transaction is a fraud or not.☆189Updated 7 months ago
- A collection of all the projects built on TheCodex.Me☆161Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆146Updated 4 years ago
- ☆17Updated 4 years ago