An example repo for how PU Bagging and TSA works.

Machine learning library for classification tasks

Machine learning library for classification tasks

Evaluating multiple classifiers after SVM-RFE (Support Vector Machine-Recursive Feature Elimination)

Thesis for my Diploma in ML and AI at UoH

Machine learning library for classification tasks

Breast Cancer Detection with Decision trees Algorithm And Bagging Normalizing

Algorithms and Data Structures for Data Science and Machine Learning

Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"

Plain Python Implementation of popular machine learning algorithms from scratch. Algorithms includes: Linear Regression, Logistic Regression, Softmax, Kmeans, Decision Tree,Bagging, Random Forest, etc.

Nonlinear Regression Models

Codes and slides of my Machine Learning lectures

Implementing Decision Trees, Bagging Trees and Random Forest

12 clinical features for predicting death events.

Machine Learning Framework for Estimating Efficiency of Organic Solar Cells using Extreme Random Forests

In this project I implemented decision tree, bagged tree, random forest and XGBoost for comparison of better MAE performance between Trees Algorithms.

Classification problem using Ensemble Techniques

Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio

Machine Learning Jupyter Notebooks

Analyse the factors which lead to online shopping on a website and building predictive models for it.