pablo-var / final-project-kaggle-predict-future-sales
Final project for "Predict Future Sales" Kaggle competition. "How to win a data science competition" Coursera course.
☆11Updated 6 years ago
Alternatives and similar repositories for final-project-kaggle-predict-future-sales:
Users that are interested in final-project-kaggle-predict-future-sales are comparing it to the libraries listed below
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 7 months 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…☆141Updated 2 years ago
- This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using P…☆29Updated last year
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 2 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 6 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- ☆36Updated 7 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- 📈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
- Streamlit Application for ABC Analysis & Product Segmentation☆16Updated last month
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆52Updated 6 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆60Updated 5 months ago
- Iowa House Prices Kaggle (top 5%)☆13Updated 9 months ago
- WARNING: This repository is no longer maintained This repository will not be updated. The repository will be kept available in read-onl…☆29Updated 3 years ago
- Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes☆17Updated 2 years ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆18Updated 4 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆214Updated 6 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆137Updated 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 …☆134Updated 6 years ago
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆26Updated 6 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
- A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit☆54Updated 3 months ago
- ☆20Updated 6 years ago
- Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a…☆33Updated 4 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 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
- Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦☆36Updated 7 years ago