A Regression based ML model for prediction of car prices in market
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Updated
Jul 29, 2023 - Jupyter Notebook
A Regression based ML model for prediction of car prices in market
This is a Car Price predictor using Machine Learning with an interactive UI built using streamlit(python framework).
These are the work done while my internship period for Internpe 2023
This repository presents a data-driven exploration into predicting car prices using a machine learning model based on linear regression, aimed at aiding a Chinese automobile company's entry into the competitive US market.
Car Price Detection System
This project showcases Power BI skills by analyzing customer behavior and preferences in the automotive market. Using interactive dashboards, it provides insights into demographics, car brands, models, and purchasing trends, highlighting the use of Power BI for data-driven decisions.
Car Price Prediction using Machine Learning
End to end machine learning Project that predicts the price of used cars
🚗 Car price prediction using machine learning. Demo app built with Streamlit for easy interaction.
Prediction Car prices using a Linear Regression model
I recently completed my five distinct tasks, as part of my data science and machine learning internship at Oasis infobyte.
This repository is dedicated to developing a model for predicting car prices in Malaysia, utilizing various data science techniques and machine learning algorithms.
Welcome to the "Car Price Prediction with Random Forest Regressor" repository! This project focuses on predicting the prices of cars using the power of machine learning and the Random Forest Regressor algorithm. If you're interested in the automotive industry, machine learning, or predictive modeling, this repository is a perfect starting point.
"Developed a machine learning model to predict stock prices based on historical data and key market indicators. Implemented time series analysis, regression models, and deep learning algorithms to identify trends and forecast future prices. Utilized Python libraries like pandas, scikit-learn, and TensorFlow for data preprocessing, model training
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