Machine Learning for Beginners – A Guide to tune hyper-parameters of XGBoost model in Python.
Machine Learning for Beginners – A Guide to use XGBoost model in Python.
(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Decision Tree with Grid Search CV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Decision Tree with Grid Search CV in Python. …
Machine learning classification is a type of machine learning that is used to predict a categorical value. In this case, we are going to use a decision tree algorithm in combination with a technique called Monte Carlo Cross Validation (MCCV) to classify the Iris dataset from UCI into different species of Iris. The …
Machine Learning Classification in Python using Decision Tree | Data Science Tutorial | IRIS dataset
Machine learning classification is a type of machine learning that is used to predict a categorical value. In this case, we are going to use a decision tree algorithm to classify the Iris dataset from UCI into different species of Iris. The Iris dataset from UCI is a dataset that contains 150 observations …