Srilekya G's Projects
Using Logistic Regression and KNN Models
The pipeline which helps to build some classification models and to choose the best one using a cleaned and preprocessed data.
Customers Loan Predicton using a Random Forest Model
The Basic EDA steps to understand about the patterns in the dataset
Built Logistic, decision tree and random forest models to choose the best one
Objective: To explore the most important factors for a student to get into graduate school and to select the most accurate model to predict a student’s chances of gaining admission into Graduate School.
To predict the admission of students using Random forest model
Done various Timeseries Models to forecast