We think they're not enough car price predictor websites and data analysis
It Data visualize and make a graph of the data from the Kaggle dataset and predict the price of car by giving some input
Using python, streamlit for hosting cufflinks, and plotly for 3d data visualization pandas, numpy for EDA, Jupiter notebook, and Vs code as our primary IDE, ML, Linear Regression, Kmeans clustering, Random forest, Github.
We tried deploying the project using Django on godaddy domain but ran into a series of errors, We also tried implementing a chatbot using Twilio and cohere but couldn't integrate the Twilio autopilot
We perfectly integrate the hosted website into our home page. Our price prediction model predicts the price by using three algorithms and takes the best accuracy output from them. We trained the model in one day and made a pickle file from it. We took the car dataset from scratch and did EDA on it we deployed our output into the data visualization page like the graph and the path the data shows. We used APIs for the car dataset but most of the APIs are paid that's why we took the dataset from Kaggle
We changed our project which is on React and Django framework, SQL as a database. But the due to a deployment error we switched our deployment platform from Godaddy to Streamlit.
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