ROHANNAIK / Sales-PredictionLinks
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
☆112Updated 7 years ago
Alternatives and similar repositories for Sales-Prediction
Users that are interested in Sales-Prediction are comparing it to the libraries listed below
Sorting:
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆67Updated 6 years ago
- Customer segmentation using k-means clustering in python☆60Updated 7 years ago
- 5 machine learning techniques to forecast product sales☆144Updated 2 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆95Updated 2 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆145Updated 2 years ago
- ☆222Updated 3 years ago
- This is Kaggle project for the house price prediction☆109Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- Lending Club Data Loan Default Prediction☆60Updated 2 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆61Updated 5 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 4 years ago
- Book Projects☆25Updated 4 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆89Updated 6 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆33Updated 7 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆51Updated 6 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆49Updated 7 years ago
- Different clustering approaches applied on different problemsets☆40Updated 5 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…☆27Updated 2 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Updated 6 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…☆238Updated 3 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- ☆139Updated 4 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆265Updated 7 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆39Updated 3 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆103Updated 6 years ago