In this Machine Learning Recipe, you will learn: How to find optimal parameters using GridSearchCV in Python. find optimal parameters using GridSearchCV in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

# Month: February 2019

In this Machine Learning Recipe, you will learn: How to optimise multiple parameters in XGBoost using GridSearchCV in Python. optimise multiple parameters in XgBoost using GridSearchCV in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to parallelise execution of XgBoost and Cross Validation in Python. parallelise execution of XgBoost and Cross Validation in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to visualise XgBoost model with learning curves in Python. visualise XgBoost model with learning curves in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to evaluate XgBoost model with learning curves in Python. evaluate XgBoost model with learning curves in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to visualise XgBoost model feature importance in Python. visualise XgBoost model feature importance in Python Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to save trained models in Python. save trained models in Python. Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!

In this Machine Learning Recipe, you will learn: How to implement Voting Ensembles in Python. implement Voting Ensembles in Python. Get the Jupyter Notebooks with Python, R & MATLAB programs @ SETScholars Analytics !!!