dayanacavalcante

Anti-Spam-Filter

Use of the NLTK library, Naive Bayes algorithm, CountVectorizer and TfidfTransformer from scikit-learn.

ApiPython-WineClassify

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

AzureDataFactory

BNDES-Dados-Abertos

Hackathon BNDES - Projeto selecionado entre os finalistas

CustomerSegmentation

Customer Segmentation by RFM

Intro_to_llm

Data preparation, model definition, training, and text generation using PyTorch.

Langchain_llm

Use of LangChain for OpenAI LLM integration with Faiss vector database

Obesity-Estimate

Use of OLS method, Linear Regression, K-means, Agglomerative Hierarchical, DBSCAN, Decision Tree, Random Forest, Logistic Regression, Support Vector Classifier, K-nearest neighbors, and Naive Bayes algorithms in the case study to estimate obesity levels.

PricePrediction

Build machine learning models to predict the price variable with CatBoost Regressor, Linear Regression, and Random Forest Regressor.

Unsubscribe_Insights

Churn analysis

dayanacavalcante/CustomerSegmentation

Customer Segmentation by RFM

dayanacavalcante/Obesity-Estimate

Use of OLS method, Linear Regression, K-means, Agglomerative Hierarchical, DBSCAN, Decision Tree, Random Forest, Logistic Regression, Support Vector Classifier, K-nearest neighbors, and Naive Bayes algorithms in the case study to estimate obesity levels.

dayanacavalcante/Anti-Spam-Filter

Use of the NLTK library, Naive Bayes algorithm, CountVectorizer and TfidfTransformer from scikit-learn.

dayanacavalcante/ApiPython-WineClassify

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

dayanacavalcante/AzureDataFactory

dayanacavalcante/BNDES-Dados-Abertos

Hackathon BNDES - Projeto selecionado entre os finalistas

dayanacavalcante/CarPrices

dayanacavalcante/Image-Recognition-YOLOv4

Darknet neural network architecture

dayanacavalcante/Intro_to_llm

Data preparation, model definition, training, and text generation using PyTorch.

dayanacavalcante/Langchain_llm

Use of LangChain for OpenAI LLM integration with Faiss vector database

dayanacavalcante/Loan-Prediction

Classification of home loans using Logistic Regression, Decision Tree and Random Forest algorithms.

dayanacavalcante/MRI-Recognition-with-Keras-and-Tensorflow

dayanacavalcante/Named-Entity-Recognition

spaCy

dayanacavalcante/PCA-Iris-Dataset

dayanacavalcante/PricePrediction

Build machine learning models to predict the price variable with CatBoost Regressor, Linear Regression, and Random Forest Regressor.

dayanacavalcante/Unsubscribe_Insights

Churn analysis

dayanacavalcante/Covid-19-RJ-Brazil-ARIMA

Application of stationary transformations and ARIMA Model.

dayanacavalcante/Dashboard_Plotly_Dash

dayanacavalcante/DayanaCavalcante

Portfolio

dayanacavalcante/HouseSalesPrediction

dayanacavalcante/Multicollinearity_VIF

Quantify multicollinearity by VIF

dayanacavalcante/OrchestratingDataMovement

Azure Data Factory

dayanacavalcante/Retail-Sales-Forecasting

Monthly Sales forecast using the LSTM (Long Short-term Memory) method.

dayanacavalcante/UnsupervisedLearningForCountryGrouping

Grouping of countries using KMeans.