Validates predictions
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Updated
Jul 21, 2018 - R
Validates predictions
Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
Why do best and experienced people leave? Logistic Regression model, Cart Trees, Random Forest and Cross Validation
The project involved developing a credit risk default model to identify a group of customers who are willing to take personal loans using a given data that had to be checked for outliers, missing values, multicollinearity, etc.
Análise e Classificação de Dados Students Performance. (Data Science)
The project involves analyzing certain issues of customer churn faced by telecom companies. Models are required to be built so as to predict whether a customer will cancel their service in the future or not and then model comparison measures are made for taking interpretation and recommendations from the best model.
Dataset preprocessed, tuned and trained using Support Vector Machine
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