I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

All my Machine Learning Projects from A to Z in (Python & R)

If you miss payments or you don't pay the right amount, your creditor may send you a default notice, also known as a notice of default. If the default is applied it'll be recorded in your credit file and can affect your credit rating. An account defaults when you break the terms of the credit agreement.

Full machine learning practical with R.

Full machine learning practical with Python.

This project demonstrates Decision Tree Classification using two pruning techniques: pre-pruning and post-pruning. Both approaches are implemented and compared to control overfitting and improve model generalization.

Assignments in Machine Learning class at Stockton University

Build and evaluate classification model using PySpark 3.0.1 library.

Decision Tree and Artificial Neural Network for Cell of Cancer

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables. Deci…

Some of my Python Projects

ML model that creates a decision tree to classify recipes into cuisines based on their ingredients.

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

MACHINE LEARNING ALGORITHMS

Sentiment Analysis of Movies Dataset

Breast Cancer Prediction with Logistic Regression Classification gives an accuracy of 96.70%. apart from this Decision Tree Classification gives more accuracy along with LRC. Dataset can be available on UCI Machine Learning.

House Prices Prediction and Credit Default Risk Prediction competitions. Advanced decision tree-based regression and classification models are used.

Machine Learning Mastery is a comprehensive repository designed to teach machine learning with Python. It covers essential techniques from data preprocessing to advanced methods in classification, regression, and clustering, catering to beginners and advanced learners alike.

Third homework to the subject IZU.