andre-luis-lopes-da-silva Goto Github PK

followers: 14.0 following: 33.0 repos: 32.0 gists: 0.0

Name: André Luís Lopes da Silva

Type: User

Company: Universidade Estácio de Sá

Bio: Developer, Data Analyst and Data Scientist, passionate about data and artificial intelligence.

Location: Brazil

Blog: https://www.linkedin.com/in/andr%C3%A9-lu%C3%ADs-lopes-da-silva-00b95a28/

André Luís Lopes da Silva's Projects

algorithm-to-create-an-date-index-to-organize-dataframes

This algorithm generates an date index to organize a dataframe using monthly data of interbank certificate of deposit (CDI), an Interest rate used for Brazilian banks.

artificial-neural-network-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector

A model based in artificial neural network to predict buy and sell stocks of retail sector.

automation-in-the-selection-of-professors-and-students-in-public-examinations-and-postgraduate

Automated system for the selection of professors and students in postgraduate processes and public examinations using academic metrics from the international database SCOPUS using the pybliometrics REST API.

calculator-of-distance-strike-for-options

This is a calculator of strike price distance for options.

cboe-volatility-index-vix-monitor

This is a real time monitor to observe the CBOE Volatility Index (VIX) and this application issues alerts when levels of this index are critical or requires attention, the alerts appears visual and in human voice.

cboe-volatility-index-vix-monitor-using-gtts

comparing-the-clustering-algorithms-affinity-propagation-and-k-means

Comparing the clustering algorithms: affinity propagation and k-means and determining the execution time. DBCV Score was estimated.

costumer-segmentation-using-affinity-propagation

Costumer segmentation was performed using the affinity propagation algorithm, PCA and autoencoders were used to optimize.

customer-lifetime-value-analysis

Customer Lifetime Value (CLV / CLTV) is a metric that allows a business to see how much revenue a customer might bring in over time.

customer-segmentation-using-k-means-principal-component-analysis-pca-and-autoencoders.

This case presents a customer segmentation to define marketing strategy using K-means, principal component analysis (PCA) and autoencoders.

datascience-for-human-resource-department-predictive-machine-learning-model-using-naive-bayes

This study presents a predictive machine learning model using naïve bayes to classify the profile of employees who will leave the company.

datascience-using-support-vector-machines-for-human-resource-department

This study presents a predictive machine learning model using Support vector machines to classify the profile of employees who will leave the company.

developing-an-expert-adviser-based-on-parabolic-sar-indicator

The aim of this study was develop an expert adviser based on parabolic SAR indicator. However, it is necessary to find a trend tracer to combine with this indicator. It was tested diferent moving averages with different periods as trend tracers. Data of different tests are shown and discussed.

expert-advisor-for-setup-walking-up-the-bands

Robot for trading. Builded for use the setup: "Walking up the bands".

groupby-examples

Examples

influence-of-lemmatization-and-stemming-in-the-word-frequency-text-summarization

The aim of this study was to determine which method would be most efficient for generating summarization using the word frequency text. Three forms were analyzed: without any method, lemmatization and stemming. The rouge metrics were used as a score. The generation of summaries using the method of stemming was more suitable.

ladinobot

Robô Open Source para MQL5

linear-regression-analysis-of-the-stroke-occurrence-related-the-age

Algorithm in python to determine how many people had stroke by age using linear regression

localizando-coordenadas-na-tela

Localizando as coordenadas na tela

logistic-regression-to-predict-the-time-to-buy-or-sell-stocks-of-retail

This is a predictive model for trade of stocks of retail using macroeconomic indicators

news-trader

News Trader is a customizable expert advisor to trade high-volatility news releases based on the trader's inputs.

optionalities---manager-of-option-selling

This manager allows to monitor strike distances, stock price, coverage and option type, expiration month of options sold on the B3 stock exchange, Brazil.

predict-customer-churn-using-logistic-regression-

Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.

random-forest-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector

A model based in random forest to predict buy and sell stocks of retail sector.

relatorio-automatico

Automação de análise dados e envio de relatórios

rfm-analysis-for-customer-segmentation

This is an implementation of Recency, Frequency and Monetary value (RFM) analysis used for customer segmentation.

sentiment-analysis-of-the-copom-document-using-vader

A sentiment analysis of the last document of the meeting of the Brazilian central bank's Copom (Monetary Policy Committee) was performed using the Vader (Valence Aware Dictionary and sEntiment Reasoner)

testing-the-new-python-module-named-tradingcomdados

This is a simple test with this new python module

trading-signal-using-the-candlestick-inverted-hammer

Brief study analyzing the potential of using the inverted hammer candlestick in trending stocks

web-scraping-using-selenium-to-get-the-dividend-value-of-real-estate-funds

Projeto em construção

andre-luis-lopes-da-silva Goto Github PK

André Luís Lopes da Silva's Projects

Recommend Projects

Recommend Topics

Recommend Org

Jobs