robertofranceschi / Default-Credit-Card-Prediction
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
☆18Updated last year
Related projects: ⓘ
- Customer-base segmentation over e-commerce sales data☆24Updated 4 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…☆169Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆40Updated 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
- Time Series Decomposition techniques and random forest algorithm on sales data☆54Updated 2 years ago
- A small repository explaining how you can validate your linear regression model based on assumptions☆12Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆68Updated 4 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆47Updated 4 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆165Updated last year
- a collection of different Exploratory Data Analysis Aproaches☆83Updated 4 years ago
- ☆119Updated 3 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…☆67Updated 2 years ago
- Customer segmentation using k-means clustering in python☆55Updated 6 years ago
- Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.☆25Updated 2 years ago
- Solved end-to-end machine learning projects☆30Updated last year
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆128Updated 6 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆78Updated 4 years ago
- Bank customers churn dashboard with predictions from several machine learning models.☆42Updated last year
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆29Updated 3 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆36Updated 5 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food review…☆43Updated 3 years ago
- A data science project to predict whether a transaction is a fraud or not.☆142Updated 2 weeks ago
- A Classification Problem which predicts if a loan will get approved or not.☆38Updated 2 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆96Updated 6 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆39Updated 3 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆48Updated 3 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆53Updated 6 years ago
- Loan Application Data Analysis☆89Updated last year
- laxmimerit / NLP-Tutorial-8---Sentiment-Classification-using-SpaCy-for-IMDB-and-Amazon-Review-DatasetNLP Tutorial 8 - Sentiment Classification using SpaCy for IMDB and Amazon Review Dataset☆21Updated 4 years ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago