rohan0526/Health-Insurance-Premium-Price-Prediction

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.

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AmbreenMahhoor/Bagging-Ensemble

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yluoc/Airfare_Prediction

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RohitG57/Taxi-Fare-Prediction

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

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rociobenitez/AirbnbPricingModel

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

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srushtii-m/Flight-fares-and-delay-prediction

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

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bernatsort/Barcelona_house_price_prediction

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

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PashaDEVAcc/Housing-prices-ml

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kpsijil2/Cement-Manufacturing

Predicting cement strength

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ZeeshanKhalid2k01/Bagging

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

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Akash1070/Predicting-Compressive-Strength-Of-Concrete-Model

Predicting Compressive Strength of Concrete

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sean-atkinson/supervised_learning_models

Playing around with a variety of classification and regression models.

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swarna0712/Of-Genomes-and-Genetics-Data-Analytics

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

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Zauverer/Random-Forest

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sujaypuvvadi/Pre-Owned-Cars-Price-Estimation-and-Analysis Fork of AjithKumarVS/Pre-Owned-Cars-Price-Estimation-and-Analysis

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 project.

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