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Name: Lukas Mendes
Type: User
Company: @Data-Science-Brigade
Bio: "Life isn't about finding yourself, life is about creating yourself."
Location: Rio de Janeiro - Brazil
Name: Lukas Mendes
Type: User
Company: @Data-Science-Brigade
Bio: "Life isn't about finding yourself, life is about creating yourself."
Location: Rio de Janeiro - Brazil
Uma agenda para marcar clientes. Em puro Python.
In this project I analyzed data on deaths from air pollution each year (From 1990 to 2017) in different countries. In the end I made several machine learning models to predict the number of deaths for the coming years. In this dataset, we have the number of deaths from various causes but I chose to focus only on those from air pollution. In the end I saved the best model.
A python code that makes auto clicks in estipulated times
Um jogo de cartas, o Black Jack! Em puro Python. Foi um projeto de começo de carreira, vou melhora muito ele ainda.
Convolutional Neural Networks for classification of brain tumor X-Ray images.
Predicting breast cancer with Tensorflow Keras
Analise e previsão de preços de carros com base nos dados da tabela FIPE 2021.
Classificando digitos de 1 a 9 com uma Rede Neural Convolucional
Project using machine learning to group customer profiles by their similarities, find patterns and guide assertive marketing strategies. In the end, based on the classes created by the K-means algorithm, we train models to classify new customers into one of the created classes.
Data Science project on SpaceX's Falcon 9
In this notebook, we are going to build a deep neural network with python and numpy. The file "dnn_utils.py" contains several functions that will be used here. Functions like forward prop and backprop, among many others. Please open this file to follow along. - Build and train a deep L-layer(the number of hidden layers the user assigns) neural network, and apply it to supervised learning.
Um jogo divertido de matematica.
Fórmulas e cálculos de funções de ativação e loss/cost.
Using Convolutional Neural Network to recognize and classifying images from fashion MNIST.
Statistics analysis about housing prices derived from the U.S. Census Service.
The objective of this project is to forecast stock prices for the company Petrobras, a state-owned Brazilian multinational corporation in the petroleum industry. We have the stock prices of 2013 to 2018. For this, we will use a Recurrent Neural Network (LSTM) and the Facebook Prophet algorithm. At the end we will compare the results between the models. Let's jump right in!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.