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

Website Prediksi Penyakit jantung dengan 5 fitur menggunakan metode KNN,bagging classifier,random forest

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).

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

Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance

The project is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets.

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.

R | Classification Project

Intro to Machine Learning Assignment 3

The objective is to analyze voter behavior based on demographic and opinion-based variables and build a classification model that can predict which party a voter will vote for. This model is used to simulate an exit poll.

This assignment dives deeper into machine learning by implementing and evaluating ensemble methods. The notebook covers techniques like bagging and boosting, using models such as Random Forests and AdaBoost. It includes performance comparisons, visualizations, and insights into how ensemble learning improves model accuracy and robustness.

Some process on Shatel dataset.

Project for the "Computational and Statistical Learning" course.

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.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

A machine learning application, deployed using Flask, is designed to identify the presence of heart disease in patients by analyzing various medical features.

Model to Predict if a customer will purchase a Travel Package