Functions to help in model building and evaluation
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Updated
Oct 12, 2018 - R
Functions to help in model building and evaluation
supervised models to predict the happiness by entering categorical features as input
Predicting if a customer will take a personal loan or not, from customer behavior information such as age, income, credit card usage, etc.
Classification ML Model to predict pre-owned cars purchase
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !
A machine learning project in Python to predict the 2020 Australian Open Winner
A credit card fraud detection kernel
Comparison of ensemble learning methods on diabetes disease classification with various datasets
This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )
Examine each feature in the dataset & how they relate to one another. Main aim is to determine whether a person is likely to experience a Savior cardiac problem or not.
Model wine quality based on physiochemical tests - AI Fellowship Machine Learning Final Project
Usage of the UOB algorithm in the unbalanced static data streams processing - Academic Project
Random Forests on Income classification
Python Notebook for Ensemble Learning on Wisconsin Breast Cancer Database
Machine learning agorithams
Introductory project to Linear Models, Decision Trees and Ensemble Methods
Algorithmic Trading in R
final project, classification base on tree data strucutures, random forest
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