A machine learning system that uses model aggregation (bagging) for highly reliable calorie expenditure predictions based on user metrics and activity.

Predicting genetic disorder and disorder subclass based on familial history and its effects

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

supervised machine learning concepts coverd in this repo

The dataset provides information on crop production in India from 1997 to 2015. The Crop Production was predicted using Decision Tree Regressor, K Neighbours Regressor, Bagging Regressor, Random Forest Regressor and Gradient Boosting Regressor

Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.

Developed a Health Insurance Premium Price Predictor using a dataset of personal attributes (age, gender, BMI, family size, smoking habits) to analyze their impact on medical insurance charges and predict healthcare costs.

Modeling and predicting carseats sales using decision trees and random forests, with feature importance analysis, test performance evaluation, and reproducible visualizations. This project was done in Python.

A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.

Goal is to predict the concrete compressive strength using collected data

Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.

Predicting cement strength

This project provides the best possible price of a used car by taking attributes such as Manufactured Year, Number of Cylinders, Condition, and many more as inputs. Out of all models tested, the Random Forest model predicted the prices closest to the prices listed on Craigslist. Developed a web app using the Flask API for the deployment of this …

This project aims to develop a time series forecasting system for predicting climate in Harveston.

Predicción del precio de venta de las viviendas en venta y de las viviendas en alquiler de Barcelona.

Implementation of Bagging Classifier, Bagging Regressor, Bootstrap Aggregation, and Random Forest with performance comparison and ensemble learning visualizations.

Predicting Compressive Strength of Concrete