abhinav-bhardwaj / Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
☆34Updated 3 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
- 📈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
- Data Science Projects done at Data Trained Education during PG Data Science & ML Course☆8Updated last year
- A Classification Problem which predicts if a loan will get approved or not.☆39Updated 2 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆31Updated 3 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆105Updated 6 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆56Updated 5 years ago
- Customer-base segmentation over e-commerce sales data☆25Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆42Updated 4 years ago
- ☆19Updated 4 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
- Customer Personality Analysis Using Clustering☆22Updated 3 months ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 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
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- A data science project to predict whether a transaction is a fraud or not.☆163Updated last month
- 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
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆27Updated 4 years ago
- 🚕 Given a set of features such as the car brand, model, year of manufacture and other factors, we would be able to predict the price of …☆26Updated 8 months ago
- ☆23Updated 4 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆44Updated 3 years ago
- End to end projects-- Customer Churning prediction using Gradient Boost Classifier Algorithm perform pre-processing steps then fit data i…☆20Updated last year
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆133Updated 6 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Updated 5 years ago
- This is a Machine Learning Repository where all Types of Material Related with Machine Learning will be Available here..☆26Updated last year
- Credit Risk Model on Machine learning and prediction☆29Updated 4 years ago
- Supply Chain Optimization with Python☆87Updated last month
- Predict your Medical insurance cost!☆88Updated 6 months ago
- The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need …☆16Updated last year
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆41Updated 6 years ago