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agenda

Uma agenda para marcar clientes. Em puro Python.

air_pollution_data_science

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.

auto_click_python

A python code that makes auto clicks in estipulated times

black_jack

Um jogo de cartas, o Black Jack! Em puro Python. Foi um projeto de começo de carreira, vou melhora muito ele ainda.

brain_tumor_classifier_cnn

Convolutional Neural Networks for classification of brain tumor X-Ray images.

breast_cancer_with_keras

Predicting breast cancer with Tensorflow Keras

car_prices_data_science

Analise e previsão de preços de carros com base nos dados da tabela FIPE 2021.

classificando_digitos_redeneuralconvolucional

Classificando digitos de 1 a 9 com uma Rede Neural Convolucional

covid_teresopolis_data

customer_analysis_clustering

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_falcon9

Data Science project on SpaceX's Falcon 9

deep_neural_network_pure_python_numppy

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.

iris_dataset_with_keras

jogo_de_matematica

Um jogo divertido de matematica.

loss_and_activations_functions

Fórmulas e cálculos de funções de ativação e loss/cost.

pytorch_chest_xray_pneumonia_classification

pytorch_fashion_minist

Using Convolutional Neural Network to recognize and classifying images from fashion MNIST.

statistic_data_science_project

Statistics analysis about housing prices derived from the U.S. Census Service.

time_series_petrobras_stock

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!