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
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.
Machine learning agorithams
final project, classification base on tree data strucutures, random forest
ID3 Decision Tree and Bagging Implementation with python
Given project compares various machine learning classifiers and provides their results on car dataset of UCI Machine learning library.
A machine learning project in Python to predict the 2020 Australian Open Winner
Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.
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 )
Model wine quality based on physiochemical tests - AI Fellowship Machine Learning Final Project
Implementing random forest models in R with bagging and boosting.
Predict if the customer will churn or not
Algorithms from scratch to know how the algorithms work.
Using Logistics, Classification, and KNN modelling to predict if a credit card account will default.
Predictive modeling projects for online competitions(Kaggle & DrivenData) and assignments from the Master in Business Analytics & Big Data at IE HST.
It is a subset of variables from a study carried out in 1988 in different regions of the world to predict the risk of suffering a heart-related disease.
Тренировки Яндекс 2023 girafe-ai
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