A python library for repurposing traditional classification-based resampling techniques for regression tasks
These are the tasks given to us in the internship we are doing with The Sparks Foundation i.e GRIP(Graduate Rotational Internship Program )
#tsf #datascience #internship
Neural network which solves the regression task using torch. There are 2 examples to predict sin function.
Baseline Linear Regression model for California Housing Price Prediction (EDA + ML pipeline)
Regression analysis project predicting life expectancy with data preprocessing, feature engineering and Ridge Regression + Random Forest + AdaBoost models 📈
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