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
AI Visual Content Creator | AI Image & Video Prompt Engineer
Ho Chi Minh City, Vietnam - 8:14 am local time
I help clients turn raw data into clear insights, visual reports, and simple predictive models. I can work with CSV or Excel data, clean and organize datasets, create charts, analyze business performance, and build beginner-to-intermediate machine learning models using Python.
My main skills include:
* Python data analysis
* Pandas and NumPy
* Data cleaning and preprocessing
* Exploratory data analysis
* Data visualization with Matplotlib and Seaborn
* Sales dashboard reports
* Machine learning with scikit-learn
* Classification and regression models
* Feature engineering
* Model evaluation and improvement
I have built practical portfolio projects including sales data analysis, sales dashboard visualization, Titanic survival prediction, Titanic model improvement, house price regression, and house price model improvement using pipelines, cross-validation, XGBoost, and LightGBM.
I focus on writing clean, well-structured, and easy-to-understand Jupyter Notebooks so clients can clearly see the workflow, results, and recommendations.
If you need help cleaning your data, analyzing business performance, creating visual reports, or building a simple machine learning model, I would be happy to help.
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.