A predictive application used to predict vehicle prices based on relevant features.
The dataset used is from that provided by Microsoft for Engage Intern'22 Program.
Technology Used : Data Analysis and Linear Regression
Exploratory Data Analysis : Done to gain deep insights about the dataset and find the nature and type of attributes.
Data Preprocessing : The relevant features are converted into suitable format for model development.
Model Training and Testing : The LinearRegressor model is trained and tested to achieve maximum appropriate results.
Locally Hosted through : streamlit.