m4theus4ndr4de Goto Github PK

classification-health-insurance-cross-sell

An insurance company wants to start selling vehicle insurance to the customers that already have health insurance. They believe that one of the ways to reach as many customers as possible with the least amount of calls is to make a machine learning model that sorts the list of customers to maximize the amount of contracted services.

clustering-loyalty-program-creation

The business team asked the data scientists to select the most valuable customers for the company Recency, frequency and monetary aspects were considered by the business team as the main characterists to evaluate the customers in clusters.

computer-vision-essential-oil-measurement

Computer vision system to measure the essential oil produced by steam distillation in real time communicating with supervisory applications using Modbus TCP.

industrial-communication-opcua-modbustcp

OPC UA and Modbus TCP Clients and Servers in Python

insights-real-state-negotiation

The House Rocket is a real state company. The data scientist from House Rocket should help the CEO answering two questions and creating two tool to help understanding the dataset.

insights-real-state-rent

Real estate insights project, using a dataset from Airbnb, in New York, to help the company's CEO to evaluate the behavior of the prices of properties available in the city.

m4theus4ndr4de

Config files for my GitHub profile.

portfolio_data_science

regression-drugstore-sales-prediction

The CEO from Rossmann wants to renovate all stores and asked wants to know what the income of all the stores will be in the next 6 weeks. A regression model would be of great help.

regression-oil-production-prediction

Production prediction is one of the core problems in a company. The provided dataset is a set of nearby wells located in the United States and their 12 months cumulative production. The company data scientist needs to build a model from scratch to predict production.