Ahmad-Ali-Rafique/Decision-Tree-Regressor-Modeling

Comprehensive exploration of decision tree regressors, including data cleaning, model building, and performance evaluation on various datasets.

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5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

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

Predicting Compressive Strength of Concrete

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OmerGamie/mlproject

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

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shaanVM/BigMartSalesPrediction

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dixitamol/ML_code_templates_Py

Code templates for data prep and different ML algorithms in Python.

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huseyincenik/auto_analytics_advanced_estimation_and_deployment

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Kritik007/Airline-Fare-Prediction

Airline Fare Prediction using Regression

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PREETHIKA-N-C/Product-Demand-Prediction-using-Decision-Tree-Regressor

In today's dynamic marketplace, accurately forecasting product demand is essential for optimizing inventory management, production planning, and ensuring customer satisfaction. This project capitalizes on the potential of machine learning to tackle this critical business challenge.

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Ranjeet731/House_Price_Prediction

The "House-Price-Prediction" repository contains code for a model that predicts house prices. It considers factors like bedrooms, bathrooms, and living area. With simple instructions, With the help of this model we can easily predict results as per our requirement.

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lucashomuniz/Project-14

Development of an AutoML System to Predict the Compressive Strength of Concrete

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rahulg-101/Ads-Click-Through-Rate

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

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MHassaanButt/Antenna-design-using-ML

In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

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Admunzi/AI-Data_Multiple_Predictor

We're going to use some models to predict the Datasets and show the predictions results in a table.

Language: Python - Size: 206 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Bessagg/Bessa_FreezeCasting.py

My graduation project on freezing casting data. Forecasting porosity with AI,

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GoodnessUdochukwu/Housing-Price-Regression

This project utilizes housing features to develop a regression model for predicting housing prices.

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Dhruv7055/House-Price-Prediction

Predicting House Prices using LinearRegresion, DecisionTreeRegression, RandomForestRegressor.

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esvs2202/Car-Price-prediction_-hackathon-

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Jash-tech/JOB-A-THON

Analytics Vidhya hosts "JOB-A-THON" where over 7000+ enthusiasts got the opportunity to showcase their skills.

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arnab132/DecisionTreeRegressor

Decision Tree Regression using Python

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SamuelSousaFerreira/Previsao-de-Precos-no-Mercado-Imobiliario

Previsão dos preços dos imóveis em Ihoa, USA com 4 modelos de regresão, feature engineering com SelectBest.

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geekquad/Boston-Housing

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.

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MarkVoitov/usd_rates_prediction

Построение различных моделей линейной регрессии для предсказания курса доллара

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