ROHANNAIK / Sales-Prediction
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
☆105Updated 6 years ago
Alternatives and similar repositories for Sales-Prediction:
Users that are interested in Sales-Prediction are comparing it to the libraries listed below
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆56Updated 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…☆58Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆58Updated 2 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
- ☆214Updated 2 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆65Updated 5 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆138Updated last year
- 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
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆31Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆27Updated 4 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆39Updated 2 years ago
- A final assignment of the course- Machine Learning for Python on Coursera. This notebook gives a good example of using ML framework to re…☆17Updated 5 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆16Updated 5 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- Supply Chain Optimization with Python☆90Updated last month
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆32Updated 7 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆60Updated 5 months ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆99Updated 5 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
- Customer-base segmentation over e-commerce sales data☆25Updated 4 years ago
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago
- Data Science Capstone Project Using Python and Tableau 10☆50Updated 2 years ago
- ☆125Updated 3 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- ☆174Updated 2 years ago
- 5 machine learning techniques to forecast product sales☆140Updated last year