Tag Archives: 7 steps in data science

Write a program to predict Bank Customer Churn using Decision Tree with Monte Carlo Cross Validation in Python

Hits: 80 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict Bank Customer Churn using Decision Tree with Monte Carlo Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict Bank Customer Churn using Decision Tree with Monte …

Write a program to predict Bank Customer Churn using Decision Tree with Grid Search Cross Validation in Python

Hits: 60 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict Bank Customer Churn using Decision Tree with Grid Search Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict Bank Customer Churn using Decision Tree with Grid …

Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials

Hits: 237     Machine learning is a method of teaching computers to learn from data without being explicitly programmed. One of the most commonly used algorithms for classification tasks is the Linear Discriminant Analysis (LDA) algorithm. In this article, we will be discussing how to use LDA for classification in R using the IRIS …

Machine Learning and Data Science in Python using Decision Tree with Ames Housing Dataset tutorials | Pandas | Scikit-Learn

Hits: 163   Decision trees are a popular machine learning algorithm that can be used for both classification and regression problems. They are widely used in data science and are particularly useful for tasks where the goal is to understand the relationships between different variables in a dataset. Decision trees are also easy to interpret …

Machine Learning and Data Science in Python using XGBoost with Ames Housing Dataset | Pandas | MySQL

Hits: 136   Machine learning and data science are two areas of computer science that are used to analyze, understand, and make predictions about data. One of the most popular techniques for machine learning and data science is XGBoost (eXtreme Gradient Boosting). XGBoost is a type of ensemble method that combines multiple decision trees to …

Beginner’s Project on Regression in Python

Hits: 445 Beginner’s Project on Regression in Python Machine learning regression is a type of machine learning where the goal is to predict a continuous value, such as a price or an age, based on a set of input features. It is used to model the relationship between a dependent variable and one or more …

Beginner’s Project on Multi-Class Classification in Python

Hits: 372 Beginner’s Project on Multi-Class Classification in Python Multi-class classification is a type of machine learning problem where the goal is to classify instances into one of multiple classes. This is different from binary classification, where the goal is to classify instances into one of two classes. There are several algorithms that can be …

IRIS Flower Classification using Logistic Regression Classifier

Hits: 791IRIS Flower Classification using Logistic Regression Classifier   IRIS flower classification is a common problem in machine learning. The IRIS dataset is a well-known dataset that contains information about different types of IRIS flowers, including their sepal length, sepal width, petal length, and petal width. The goal of IRIS flower classification is to use …