rasmodev / Time-Series-Forecasting---ML-Regression-ProjectLinks
This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.
☆12Updated last year
Alternatives and similar repositories for Time-Series-Forecasting---ML-Regression-Project
Users that are interested in Time-Series-Forecasting---ML-Regression-Project are comparing it to the libraries listed below
Sorting:
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆215Updated 2 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
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆34Updated 3 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆57Updated 5 years 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…☆89Updated 2 years ago
- Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning☆36Updated 4 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
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆111Updated 7 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆66Updated 2 years ago
- Data Science Projects done at Data Trained Education during PG Data Science & ML Course☆7Updated 2 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆47Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Supply Chain Optimization with Python☆98Updated 6 months ago
- 5 machine learning techniques to forecast product sales☆142Updated last year
- ☆133Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆47Updated 4 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆66Updated 9 months ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆90Updated 5 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…☆149Updated 2 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆54Updated 4 years ago
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆20Updated 3 months ago
- ☆219Updated 3 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆14Updated last year
- Time Series Analysis and Forecasting in Python☆176Updated last year
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 4 years ago
- The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need …☆18Updated last year
- 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
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago