Website Prediksi Penyakit jantung dengan 5 fitur menggunakan metode KNN,bagging classifier,random forest
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Updated
Dec 5, 2022 - Python
Website Prediksi Penyakit jantung dengan 5 fitur menggunakan metode KNN,bagging classifier,random forest
This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction by tuning model hyperparameters and addressing class imbalance through over and under sampling data. Final model is productionized using a data pipeline
A Tkinter based ML tool that classifies astronomical entities as Galaxy, Star, and Quasar
Customer Churn Prediction using Machine Learning and Deep learning. With Integration of MLFlow
The project is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets.
R | Classification Project
Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
Diyabet Tespiti Projesi 💉
This repository hosts the official implementation of the research article: "Detection of Bank Transaction Anomalies using Gradient Boosted Federated Learning" Submitted to IEEE Access. Authors: Rohan Chandrashekar, Rithvik Grandhi, Rahul Roshan G, Shylaja SS
This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).
I applied the bagging and boosting methods using the decision tree as the base predictor on the sklearn’s breast cancer data set. I experiment with different parameters and report the results obtained.
In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.
Data Mining Machine Learning | Assignments | JAN-APR 2023 | CMI
Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).
The project contains an implementation of Bagging Classifier from scratch without the use of any inbuilt libraries.
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