You will get a trained ML model predicting California house prices using Python.
Project details
You will get a complete California House Price Prediction Model built with Python and Machine Learning.
This model can analyze housing data and predict prices based on important features like area, rooms, income, and location.
I will use popular libraries such as Pandas, NumPy, Plotly, and Scikit-learn to clean the data, build the model, and show results with clear visuals.
The final project will include everything — code, dataset, graphs, and a report showing how accurate the model is.
Whether you need this for a learning project, business insight, or portfolio, I’ll make sure it’s easy to understand, well-documented, and ready to use.
This model can analyze housing data and predict prices based on important features like area, rooms, income, and location.
I will use popular libraries such as Pandas, NumPy, Plotly, and Scikit-learn to clean the data, build the model, and show results with clear visuals.
The final project will include everything — code, dataset, graphs, and a report showing how accurate the model is.
Whether you need this for a learning project, business insight, or portfolio, I’ll make sure it’s easy to understand, well-documented, and ready to use.
Machine Learning Tools
ChatGPT, Google Sheets, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 4 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10
Additional Model Variation
+$5
Additional Graph/Chart
(+ 1 Day)
+$5Frequently asked questions
About Daniyal
Data Analyst & ML Engineer | Python, Pandas, NumPy, Scikit-learn
Hyderabad, Pakistan - 8:55 pm local time
I specialize in transforming raw, unstructured, or messy datasets into clean, structured, and insight-driven data ready for analysis or machine learning applications.
My goal is to help businesses make data-driven decisions by applying the right techniques — from data preprocessing and exploratory analysis to feature engineering and predictive modeling.
Core Expertise:
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Statistical Insights & Data Visualization
• Feature Engineering & Selection
• Regression & Classification Models
• Model Evaluation & Optimization
I believe in delivering reliable, high-quality, and actionable results — not just numbers or charts. If you’re looking for a data professional who truly understands the story behind your data, let’s connect and create something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Daniyal can start the project.
Delivery time starts when Daniyal receives requirements from you.
Daniyal works on your project following the steps below.
Revisions may occur after the delivery date.
Submit Requirements
The client purchases the project and provides the dataset (CSV/Excel), target column, and project goal.
Data Understanding & Exploration
I review the dataset, check for missing values, and understand relationships between different features.