TatevKaren / artificial-neural-network-business_case_study
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
☆47Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for artificial-neural-network-business_case_study
- The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfyi…☆16Updated 2 years ago
- This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using P…☆28Updated last year
- This project is based on a Basic Text summarizer implemented with the concept of Cosine Similarity. Every basic preprocessing and Feature…☆10Updated 3 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
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆97Updated 6 years ago
- Build ML model with meaningful variables. Use model for predictions☆14Updated 2 years ago
- Using K-Means algorithm for customer segmentation due to credit card behavior☆18Updated 3 years ago
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated 3 months ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆30Updated 3 years ago
- The purpose of this project is to develop a predictive model and find out the sales of each product at a given Walmart store.☆45Updated 5 years ago
- The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-l…☆29Updated 5 years ago
- Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds,…☆17Updated 3 years ago
- Given the Bank customer relationship data, predict whether a customer will subscribe to a term deposit or not.☆13Updated 4 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 …☆25Updated last year
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆52Updated 4 years ago
- Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulatio…☆129Updated 7 months ago
- Kubeflow installation on windows 10/11☆16Updated last year
- Book Projects☆24Updated 3 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
- Exploratory data analysis for emotion datasets (text)☆11Updated 2 years ago
- My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …☆13Updated 6 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆40Updated 3 years ago
- Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.☆19Updated 2 years ago
- It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flas…☆27Updated last year
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆19Updated 4 years ago
- A small repository explaining how you can validate your linear regression model based on assumptions☆12Updated 3 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆50Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Production Fixed Horizon Planning with Python☆25Updated last month