luuisotorres

Predicting-Apple-Stock-Prices-Using-PyCaret

Using PyCaret to Predict Apple Stock Prices

Credit-Card-Fraud-Detection

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

Kaggle-Titanic-Machine-Learning-Competition-with-PySpark

This notebook is my first attempt at using PySpark for EDA and Machine Learning models.

Loan-Default-Prediction

Machine learning model to identify customers that are more likely to default based on employment, bank balance and annual salary.

PETR4-Stock-Price-Prediction-Using-PyCaret

Utilizando machine learning para prever o preço das ações da Petrobras com a biblioteca PyCaret

Simple-Moving-Average-Cross-Algorithm

My first ever python project. This algorithm plots buy and sell signals on a daily price chart of a certain stock according to shorter and longer Simple Moving Averages crosses

AutoML-Getting-Started-with-NLP-with-PyCaret

My first attempt at a NLP competition on Kaggle using PyCaret

Cartoonize

Project to turn any image into a cartoon version

Churn-Rate-Prediction

In this project, I'll do an exploratory data analysis on a Telco dataset to find what the clients who left the company have in common and afterwards I'll develop a machine learning model for a churn prediction.

Data-Science-Job-Salaries-EDA-and-Predictions-with-PyCaret

EDA and predictions on salary in usd for professionals in the data science field

DEEP-ESG-Data-Challenge

Data Processing Technical Challenge for Deep ESG

Detectando-Fraudes-de-Cartao-de-Credito-com-Machine-Learning

Utilizando algoritmos de classificação para criar um modelo preditivo que seja capaz de detectar fraudes de cartão de crédito.

DigitalAssistant

Minha primeira assistente virtual criada através do Python

EDA-and-Employee-Attrition-Prediction

Exploratory data analysis and machine learning classification models to predict employee attrition.

Getting-Started-with-Computer-Vision-with-CNN

This is my first time working on a computer vision project and developing a convolutional neural network model.

Introducao-Recomendacoes-e-Algoritmo-K-Nearest-Neighbors

Um estudo introdutório às metodologias de recomendações de conteúdo ao usuário e a construção do algoritmo K-Nearest Neighbors do zero.

luuisotorres

Config files for my GitHub profile.

luuisotorres.github.io

Spotify-Top-Hits-2000-2019

An exploratory data analysis on Spotify Top Hits from 2000 to 2019

vendas-de-jogos

Breve estudo acerca da venda de jogos durante diferentes gerações de videogames