In this Python tutorial, learn to create plots from the sklearn digits dataset. Scikit-learn data visualization is very popular as with data analysis and data mining. A few standard datasets that scikit-learn comes with are digits and iris datasets for classification and the Boston, MA house prices dataset for regression.…

# Logistic Regression Algorithm

Learn about the Logistic Regression Algorithm and other machine learning regression algorithms at R-ALGO Engineering Big Data.

- Python Machine Learning
## Breast Cancer Prediction using Logistic Regression Algorithm in Python

by John Wingateby John WingateIn this Python tutorial, learn to analyze the Wisconsin breast cancer dataset for prediction using logistic regression algorithm. This Wisconsin breast cancer dataset can be downloaded from our datasets page. Logistic Regression Machine Learning Algorithm Summary Logistic regression is another way that a machine learning algorithm can make a decision. A…

- Python Machine Learning
## Breast Cancer Prediction using Gradient Boosting Algorithm in Python

by John Wingateby John WingateIn this Python tutorial, learn to analyze the Wisconsin breast cancer dataset for prediction using gradient boosting machine learning algorithm. The Wisconsin breast cancer dataset can be downloaded from our datasets page. Gradient Boosting Machine Learning Algorithm Boosting is a common technique used by algorithms and artificial intelligence. This technique uses…

- Python Machine Learning
## Breast Cancer Dataset Analysis, Visualization and Machine Learning in Python

by John Wingateby John WingateIn this Python tutorial, learn to analyze and visualize the Wisconsin breast cancer dataset. This tutorial will analyze how data can be used to predict which type of breast cancer one may have. By analyzing the breast cancer data, we will also implement machine learning in separate posts and how…

The tools of data mining and machine learning algorithms are vast. Many different algorithms are used to sort information, predict information, and draw lines. They can make sense of millions of data points and create elaborate outputs in a fraction of a second. One of the most helpful examples of…