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This repository offers a complete project on predicting used car prices using machine learning. It features data cleaning, model selection, training, and evaluation in a Jupyter Notebook, along with a Streamlit app for interactive predictions.
This repository contains a comprehensive machine learning project focused on predicting car prices. Leveraging a diverse set of techniques and algorithms, I have undertaken the task of developing a predictive model that estimates the prices of various automobiles.
23 Νοε 2020 · Essentially, the company wants to know: Which variables are significant in predicting the price of a car. How well those variables describe the price of a car. Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the American market.
This repository contains the code and resources for a machine learning project aimed at predicting car prices based on various features. The project utilizes both Linear Regression and Random Forest Regression models to achieve accurate predictions.
Embark on an exciting journey into the realm of machine learning with our Car Price Prediction Project! 🌟🔍 In this hands-on tutorial, we'll guide you throu...
14 Οκτ 2020 · With this project, we have built a model that can predict with a 87,03% of accuracy the price of used cars, given a set of features. This information can have an enormous value for both companies and individuals when trying to understand how to estimate the value of a vehicle and, more importantly, the key factors that determine its pricing.
25 Ιουλ 2021 · In this article, we will be predicting the prices of used cars. We will be building various Machine Learning models and Deep Learning models with different architectures. In the end, we will see how machine learning models perform in comparison to deep learning models.
