MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
Is your feature request related to a problem? Please describe.
This project aims to predict the price of cars using machine learning techniques, specifically the XGBoost algorithm. The model is trained on a dataset containing various features of cars, such as the make, model, year, mileage, fuel type, and other relevant factors. It is also deployed using Streamlit.
Describe the solution you'd like
XGBoost is an optimized gradient-boosting algorithm that has gained popularity in machine learning competitions and has become a popular choice for predictive modeling tasks. It is known for its efficiency, accuracy, and flexibility. XGBoost combines multiple weak prediction models (decision trees) to create a strong ensemble model.
Is your feature request related to a problem? Please describe.
This project aims to predict the price of cars using machine learning techniques, specifically the XGBoost algorithm. The model is trained on a dataset containing various features of cars, such as the make, model, year, mileage, fuel type, and other relevant factors. It is also deployed using Streamlit.
Describe the solution you'd like
XGBoost is an optimized gradient-boosting algorithm that has gained popularity in machine learning competitions and has become a popular choice for predictive modeling tasks. It is known for its efficiency, accuracy, and flexibility. XGBoost combines multiple weak prediction models (decision trees) to create a strong ensemble model.
Describe alternatives you've considered
No response
Additional context
Dataset link: https://www.kaggle.com/datasets/nehalbirla/vehicle-dataset-from-cardekho?select=car+data.csv
Code of Conduct