The repo focuses on my works in data science
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Updated
Jul 1, 2024 - Jupyter Notebook
The repo focuses on my works in data science
Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.
Este projeto tem como objetivo construir um modelo de Machine Learning capaz de prever a satisfação de clientes de uma companhia aérea.
Market Basket Analysis
Here we are performing real time market basket analysis using hive for dynamic updating data
"SmartCart" is a cutting-edge e-commerce tool 🌟 that leverages predictive analytics to provide personalized shopping recommendations and optimize inventory management, tailored for businesses aiming to enhance customer engagement and sales 🚀.
OpenClassrooms Data Analyst 2022-2023 - Projet 6
Demystifying ~400K layoffs to analyze underlying causes and predict future trends
This is a supermarket basket analysis using FPGrowth.
This analysis delves into the fascinating world of retail data to unlock valuable insights for businesses. Market Basket Analysis is a powerful technique that allows retailers to understand customer behavior, identify item associations, and offer personalized recommendations.
Mlxtend, Association_rules, Apriori, FP Growth
Implementation of Apriori, FP-Growth, and ECLAT algorithms on natural language data
In this project I present a ML model for products association using Apriori algorithm, from MLxtend library.
This code performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.
The Netflix Dataset's exploratory data analysis is housed in this repository.
An association rule learning-based product recommendation system is desired to be created using the dataset containing users who received services and the categories of services they received.
Предоставлен файл с сервера. Вам нужно спарсить его содержимое, создать базу данных под данные, вставить данные в базу данных, удаленно подключиться к базе данных и проанализировать данные.
Portfolio of data science projects completed by me for academic, self-learning, and hobby purposes.
un algorithme qui predit si une personne X a le corona
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