You will get a smart ML Model for Car Price Estimation
Project details
Are you looking to accurately estimate the price of a used car based on data? I will create a powerful Car Price Prediction model using Python and Machine Learning that analyzes key features like brand, mileage, fuel type, and engine size to predict car prices with high accuracy. Whether you’re building a pricing tool for your dealership, a student working on an academic project, or a startup developing an analytics system, this project is tailored for you.
What sets my project apart is my end-to-end approach — from cleaning and analyzing your data, building multiple regression models, to optionally deploying it into a working web app using Streamlit or Flask. You will receive fully documented, reusable code and detailed insights.
Let’s bring your data to life and help you make smarter decisions with predictive analytics!
What sets my project apart is my end-to-end approach — from cleaning and analyzing your data, building multiple regression models, to optionally deploying it into a working web app using Streamlit or Flask. You will receive fully documented, reusable code and detailed insights.
Let’s bring your data to life and help you make smarter decisions with predictive analytics!
Machine Learning Tools
BERT, Keras, MATLAB, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, R, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Model Documentation
(+ 2 Days)
+$10Frequently asked questions
About Mahnoor
AI & Machine Learning | Artificial Intelligence, Back-End Development
Lahore, Pakistan - 2:42 pm local time
I am a data analyst with expertise in machine learning and a passion for building data-driven solutions.
With experience in front-end development using React, I am currently focused on enhancing my backend
development skills by working on Django. I am committed to continuous learning and leveraging
my technical knowledge to deliver innovative and impactful solutions.
PROJECTS
Email Spam Classification with Machine Learning
* Compiled and pre-processed a dataset of spam and non-spam emails, ensuring data quality
and consistency.
* Applied TF-IDF for effective text representation and implemented Best First Feature Selection
for impactful feature identification.
* Deployed and compared classification algorithms: Naive Bayes, Multinomial Naive Bayes,
and J48 Decision Tree.
* Evaluated performance using a Confusion Matrix and achieved high accuracy through
systematic algorithm comparison.
Steps for completing your project
After purchasing the project, send requirements so Mahnoor can start the project.
Delivery time starts when Mahnoor receives requirements from you.
Mahnoor works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements & Dataset
Review client-provided dataset and clarify project goals, target variables, and features.
Data Cleaning & Preprocessing
Handle missing values, remove duplicates, encode categorical variables, and prepare data for modeling.