You will get a simple machine learning prediction model in Python
Project details
You will get a simple machine learning prediction model built with Python and scikit-learn.
I will help you turn your CSV or Excel dataset into a basic prediction model for classification or regression tasks. This can include customer churn prediction, sales prediction, price prediction, lead conversion prediction, or other simple business prediction problems.
The project includes data cleaning, feature preparation, model training, model evaluation, and a clear Jupyter Notebook explaining the workflow and results.
This service is best for clients who need a beginner-to-intermediate machine learning prototype, model comparison, or a clear starting point for data-driven prediction.
I will help you turn your CSV or Excel dataset into a basic prediction model for classification or regression tasks. This can include customer churn prediction, sales prediction, price prediction, lead conversion prediction, or other simple business prediction problems.
The project includes data cleaning, feature preparation, model training, model evaluation, and a clear Jupyter Notebook explaining the workflow and results.
This service is best for clients who need a beginner-to-intermediate machine learning prototype, model comparison, or a clear starting point for data-driven prediction.
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, scikit-learn, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$180
|
|---|---|---|---|
| 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 | 4 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15
Additional Model Variation
+$30
Additional Graph/Chart
+$10
Model Validation/Testing
+$25
Source Code
+$20Frequently asked questions
About Tuan Anh
Python Data Analyst | Excel, CSV Automation & Streamlit
Ho Chi Minh City, Vietnam - 6:28 am local time
Services I can provide:
• Clean and standardize messy Excel or CSV data
• Merge multiple files into one accurate dataset
• Remove duplicates and handle missing or inconsistent values
• Validate dates, numbers, categories, and customer records
• Automate repetitive data-processing and reporting tasks
• Analyze sales, customer, financial, or operational data
• Create KPI reports and clear business visualizations
• Build interactive dashboards with Streamlit and Plotly
• Debug or improve existing Python and Pandas scripts
Typical deliverables:
• Cleaned and validated Excel or CSV files
• Reusable Python source code
• Data-quality summary
• Charts, KPI reports, or an interactive dashboard
• Setup and usage instructions
• Clear explanation of the results
Tools: Python, Pandas, NumPy, Microsoft Excel, Streamlit, Plotly, Matplotlib, and scikit-learn.
Send me a sample file and describe your expected output. I will review the requirements and propose a clear scope, timeline, and deliverables.
Steps for completing your project
After purchasing the project, send requirements so Tuan Anh can start the project.
Delivery time starts when Tuan Anh receives requirements from you.
Tuan Anh works on your project following the steps below.
Revisions may occur after the delivery date.
Review dataset and prediction goal
I will review your dataset, target column, and business question to understand what the model should predict.
Clean and prepare the data
I will handle basic missing values, prepare features, encode categorical columns, and organize the data for machine learning.