Dayana Cavalcante's repositories
CustomerSegmentation
Customer Segmentation by RFM
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.
BNDES-Dados-Abertos
Hackathon BNDES - Projeto selecionado entre os finalistas
Image-Recognition-YOLOv4
Darknet neural network architecture
Loan-Prediction
Classification of home loans using Logistic Regression, Decision Tree and Random Forest algorithms.
Covid-19-RJ-Brazil-ARIMA
Application of stationary transformations and ARIMA Model.
DayanaCavalcante
Portfolio
Multicollinearity_VIF
Quantify multicollinearity by VIF
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.
OrchestratingDataMovement
Azure Data Factory
Retail-Sales-Forecasting
Monthly Sales forecast using the LSTM (Long Short-term Memory) method.
UnsupervisedLearningForCountryGrouping
Grouping of countries using KMeans.