Ana Lúcia de Morais Lima (AnaHauachen)

AnaHauachen

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Company:Closer consulting

Location:Portugal

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Ana Lúcia de Morais Lima 's repositories

Bitcoin-Price-Prediction---Analyse

Recurrent neural networks (RNN) are the state-of-the-art algorithm for sequential data and are used by Apple's Siri and Google's voice search. It is an algorithm that remembers its input due to its internal memory, which makes the algorithm perfectly suited for solving machine learning problems involving sequential data. It is one of the algorithms that has great results in deep learning. In this article it is discussed how to predict the price of Bitcoin by analyzing the information of the last 6 years. We implemented a simple model that helps us better understand how time series works using Python and RNNs.

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Bioinformatics

Some python scripts related to Bioinformatics and data analysis

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code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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Customer_Segmentation

The purpose of these models is to solve the customer segmentation problem. This problem was solved by Ana Mendes, Ana Lima and Afonso Capela.

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Image-field-detection-using-template-matching-using-openCV

Here I implemented Image field detection using template, which may be a small part of Image or very similar is pattern, matching. The library providing this functionality is openCV.

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Install-docker-with-shell

Scripts implemented in shell script for automated installation of Docker

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Jogo-Bomberman

Implementação do Jogo Bomberman em python

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Machine-Learning-Samples

Machine learning algorithm code samples

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Neural-Network-with-GridSearchCV

Some examples of using gridsearchcv to make adjustments to Neural Network

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Project-Telco_Vista---Churn-rate

This project aims to identify, based on a set of data, what is the probability that a given customer will commit churned

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Queue-Data-Structure

Uma Fila é uma estrutura linear que segue uma ordem específica na qual as operações são realizadas. O pedido é Primeiro a Entrar, Primeiro a Sair (FIFO). Segue abaixo o exemplo da implementação feita em python

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ROC-CURVE--Receiver-Operating-Characteristics-

Tecnic Bagging and Boosting Curve_AUC

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WebApp---Churn-Prediction

An example of how to use your Learnig machine model in a WebApp.

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