Fork of a challenge from the 2020 IBM Behind the Code Marathon. A ideia essencial é criar um modelo baseado em machine learning, utilizando o Modeler Flow(SPSS), dentro do Watson Studio, que seja capaz de contratar o melhor candidato baseado em algumas variáveis permitindo assim a contratação do profissional mais adequado a vaga. Trata-se de um …

Python project to Analyze US Economic data and Build A Dashboard

Hands-on Data Science en IBM Code Montevideo 2018

In this series you will learn how to get started with IBM Cloud platform, deploying your application on IBM Cloud, how to connect database to your application and securely monitor it. You will also learn how to create predictive models to enhance user experience of your application. 

Python Data Science Professional Certificate (by IBM via edX)

TensorFlow 초보자를 위한 실습용 notebook으로 Watson studio 에서 수행가능합니다.

In this notebook, I demonstrate visualizations using python's seaborn library to get insights and findings of a company's churning rate.

Create and deploy a predictive model using Watson Studio and Watson Machine Learning

Learning data science.

This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes an…

Python for Data Science and AI learning from Coursera/IBM

Used Watson studio for creating the project

In this notebook, I used scikit-learn to predict churn risk. Scikit-learn provides implementations of many classification algorithms. In here, I have done a comparative study of 5 different classification algorithms. To help visualize what I am doing, I used 2D and 3D charts to show how the classes look (with 3 selected dimensions) with matplotl…

Analyzing the median house prices and School Ratings for the city of Scarborough in Canada.

Selecting the best location to open a Sushi bar in Manhattan, New York using segmenting and clustering neighborhoods in New York City.

A model for multiclass calssification, label ech student profile in Saint Paul School for predict the future profiles.

Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address challenges in areas of healthcare, technology & other areas. At the same time, these technologies will transform the nature of work and the workplace itself. In this code pa…